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Quantitative Developer | Secretive Hedge Fund (Greenfield Risk Build) | NYC \n An elite hedge fund in NYC has an opportunity for a Quantitative Developer to join an exciting greenfield initiative to build a next gen platform that enables advanced risk modeling, portfolio analytics, and delivery of a broad range of portfolio insights in as close to real time as possible. You'll be the 2nd hire on a new team being formed, so will have an excellent ground floor seat at this firm builds out next-gen systems for the Front Office. \n \n This is not a siloed Quant Risk or Quant Dev job — it's a very unique opportunity for an exceptional engineer with strong experience building factor risk models to dig into strategies and research at a fundamental level from an engineering seat. You'll build end-to-end tooling across: portfolio construction support, factor modeling, real time monitoring, liquidity analytics, crisis mode behavior, etc. Lots of greenfield work and discovery, especially as the firm scales into more complex strategies. \n \n Platform and Systems Ownership \n\n • Design, implement, and take ownership of systems critical to advancing research and analytics for risk and research teams\n, • Build robust platforms and tooling that enable investment teams to analyze the risk characteristics of their portfolios, both historically and in near real time\n, • Develop scalable infrastructure that supports rapid iteration and reliable deployment into production environments\n\n \n Risk Model Development and Deployment \n\n • Partner closely with Portfolio Managers and Researchers to develop, implement, and deploy custom in-house risk models\n, • Support portfolio construction, optimization, and analytics workflows through well architected systems\n, • Build tools that enhance visibility into exposures, factor sensitivities, liquidity profiles, and stress behavior\n\n \n Qualifications: \n\n • Degree in Computer Science, Engineering, Applied Math or Physics\n, • 4+ years of experience with Python\n, • Experience designing and building factor risk models from scratch\n, • Demonstrated experience working as a Quantitative Developer (or similar function) to interface directly with investment teams and build tools/applications from scratch\n, • Experience working with portfolio managers, researchers, or risk managers (ideally as a thought-partner, rather than pure dev)\n, • Strong economic intuition or grasp of mathematical fundamentals (i.e. linear algebra, statistics, etc.)\n\n \n Benefits: \n\n • Industry leading compensation and benefits package\n, • Health, Dental, and Vision insurance, 401k, Profit Sharing, Catered lunches, Onsite Gym, and the list goes on!\n, • Outstanding quality of life, culture, and internal career growth opportunities\n

Job DescriptionJob Description: Godot Game Engine Expert Job Type: Contract Location: Remote About the Role We are seeking experienced Godot Game Engine Specialists to contribute to an AI training project. In this role, you will use Godot to perform real-world 2D and 3D game development tasks and explain your workflows step by step. Your expertise will help enhance AI systems' understanding of game development, programming, and interactive game design. Key Responsibilities • Create and modify 2D and 3D games using Godot., • Develop gameplay mechanics, animations, and user interface elements., • Work with GDScript, scenes, nodes, and game physics., • Troubleshoot technical issues and optimize game performance., • Complete advanced Godot development tasks and document your workflows step by step., • Create clear instructions and detailed prompts for game development workflows.Required Skills and Qualifications, • Strong professional hands-on experience with Godot Game Engine., • Experience with GDScript or C# programming., • Good understanding of 2D and 3D game development, scenes, nodes, and animations., • Ability to develop, debug, and optimize gameplay systems., • Access to Godot and the ability to record your screen while completing tasks., • English proficiency of B2 level or higher., • Ability to clearly communicate and explain technical workflows.Preferred Qualifications, • A portfolio showcasing Godot game development projects., • A relevant master's degree or PhD in Computer Science, Game Development, or a related field., • Previous Human Data experience, such as data annotation, RLHF, or AI model evaluation., • Experience with multiplayer games, game physics, or UI/UX development., • Professional experience in game development.

Technical Product Manager, Software & AI Agents (Core Platform) \n Location: Brooklyn, NY (5 Days Onsite) \n Compensation: $200K–$270K Base \n Company: $55M Seed-Funded AI & Robotics Startup \n \n About the Opportunity \n Shields Group Search is partnering with a well-funded, early-stage AI and robotics startup developing autonomous scientific laboratories that dramatically accelerate materials discovery. \n The company combines AI agents, machine learning, robotic automation, and physical experimentation to discover and validate new materials in weeks rather than years. Backed by $55M in seed funding, the team consists of approximately 47 engineers, ML researchers, and scientists. \n \n They're hiring a Technical Product Manager to own the core software, data infrastructure, and AI agent platform powering their autonomous research systems. This role reports directly to the Co-founder and President and offers significant ownership over foundational technical and product decisions. \n \n What You'll Do \n\n • Own the roadmap for the core software and AI platform, including build-versus-buy decisions and defining shared infrastructure versus individual capabilities.\n, • Define APIs, data infrastructure, workflow orchestration, experiment records, and integrations connecting agents, models, and robotic laboratories.\n, • Shape AI agent capabilities, including tool use, planning, execution, evaluation frameworks, reliability, and human-in-the-loop controls.\n, • Partner with ML researchers and scientists to connect model predictions, robotic experimentation, and real-world results into continuous learning loops.\n, • Own model-serving requirements, performance, observability, scalability, security, and data governance.\n, • Define how researchers and customers interact with the platform, inspect agent decisions, and consume results through APIs, reports, and data exports.\n, • Establish meaningful evaluation metrics that connect model and agent performance to real laboratory and customer outcomes.\n, • Work directly with engineers, scientists, and leadership to prioritize technical initiatives, resolve competing perspectives, and translate customer needs into product requirements.\n\n What We're Looking For \n\n • 5–7 years of product management experience, preferably at early-stage startups, with demonstrated 0-to-1 ownership.\n, • At least 1 year directly shipping AI agent or ML-powered products, ideally involving agentic systems, AI infrastructure, or technical platforms.\n, • Strong technical depth: Comfortable reading code, building lightweight prototypes, and discussing architecture, APIs, data pipelines, integrations, and engineering tradeoffs.\n, • AI reliability expertise: Understands agent evaluations, grounding, tool failures, model limitations, and human-in-the-loop workflows.\n, • Technical product judgment: Able to connect model benchmarks to real-world outcomes and independently make architectural, prioritization, and build-versus-buy decisions.\n, • Cross-functional leadership: Comfortable working directly with engineers, ML researchers, and scientists, challenging assumptions, and building alignment without formal authority.\n, • Startup mindset: Scrappy, self-directed, low-ego, and comfortable building products and processes from scratch.\n\n Particularly Interesting Backgrounds \n\n • AI agents, LLM applications, ML infrastructure, MLOps, and developer platforms.\n, • Robotics, autonomous systems, defense technology, and laboratory automation.\n, • Scientific software, materials science, chemistry, physics-based simulations, and computational research.\n, • Bayesian optimization, active learning, and closed-loop experimentation.\n, • Technical founders, former engineers, or startup PMs with technical degrees and enterprise AI experience.\n\n Compensation & Details \n\n • Base Salary: $200K–$270K\n, • Location: Brooklyn Navy Yard, NYC — 5 days onsite\n, • Funding: $55M Seed\n, • Reporting To: Co-founder and President\n, • Visa: O-1 sponsorship available; TN accepted. H-1B eligibility unconfirmed.\n\n \n Apply \n If you're a hands-on technical Product Manager who enjoys building AI-native products, working closely with exceptional engineers and researchers, and tackling complex 0-to-1 challenges, we'd love to connect.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. About This role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Weekend Shift Schedule: Wednesday – Sunday, or Saturday – Wednesday (5-day work week, includes weekend coverage). On-site required for weekday shifts. Compensation reflects a 10% increase for this schedule. Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $135,000 - $165,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 2+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 2+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. Bonus Points: Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $145,000 - $170,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Key Responsibilities: • Help Desk Support: Assist with initial triage, troubleshooting, and resolution of hardware, software, and network issues for local and remote employees., • Device Management: Help configure, deploy, and maintain company laptops, workstations, printers, etc., • Software & Account Setup: Assist with user onboarding and offboarding, including setting up accounts in Microsoft 365, Google Workspace, Active Directory, or other internal tools., • Documentation: Create and update internal IT guides, FAQs, and troubleshooting documentation for employees., • Inventory Tracking: Maintain an accurate inventory of hardware, software licenses, and peripheral equipment., • Project Assistance: Provide support on upcoming IT infrastructure projects (e.g., system migrations, network upgrades, or security audits).Ideal Experience & Skillsets:, • Education: Currently pursuing or recently completed a degree/certification in Computer Science, Information Technology, Cybersecurity, or a related field., • Technical Knowledge: Basic understanding of desktop operating systems (Windows 10/11, macOS) and core networking concepts (IP addressing, Wi-Fi troubleshooting, DNS)., • Problem-Solving Skills: A logical approach to troubleshooting and a strong desire to figure out how things work., • Communication: Excellent verbal and written communication skills; ability to explain technical fixes to non-technical users in a friendly, patient manner., • Reliability: Ability to handle sensitive company data with discretion and maintain confidentiality.Company Benefits:, • Salary range $24/hour - $29/hourRequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: Thea Energy is seeking a Director - Divertor and Plasma Material Interactions to lead the research, design, engineering, prototyping, and qualification of Thea Energy’s divertor and first-wall systems across both the Eos and Helios development programs. This leader will lead an interdisciplinary team that will advance the technical basis for device design of three tightly coupled areas: • Core-edge integration • Plasma edge and divertor physics, • Plasma material interactions (PMI) As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly to resolve technical issues in a timely manner. Key Responsibility Areas: Strategic Leadership & Program Execution • Own the technical roadmap and milestones for core-edge optimization, heat exhaust solutions, plasma-facing systems, and particle exhaust subsystems from pre-conceptual design through hardware fabrication and operational commissioning., • Lead and mentor a world-class team of edge-plasma physicists, materials scientists, and thermal-mechanical engineers., • Set budget, staffing, and vendor strategies, balancing rapid in-house prototyping with key institutional partnership Divertor Design & Boundary Physics Integration, • Direct the physics and engineering design of the world’s first planar-coil stellarato X-point divertor, managing heat fluxes exceeding 10 MW/m2 under steady-state operation., • Oversee comprehensive SOL and edge transport modeling using industry-standard codes to predict strike-point heat flux profiles, detachment dynamics, impurity transport, and neutral pumping efficiency., • Establish active boundary control schemes using magnetic shaping coils and localized gas/impurity puffing to ensure robust radiative detachment and protect divertor targets. Plasma-Material Interactions & Advanced Materials Qualification, • Direct development of the technical basis for plasma facing material selection for long-pulse, low-core-fuel dilution operation on Eos and Helios., • Lead research initiatives into novel PFC solutions, such as renewable boundary surfaces, liquid metals, or aggregate pebble concepts where appropriate for longterm power plant life cycles., • Formulate testing campaigns for plasma erosion, sputtering, blistering, and helium/deuterium/tritium retention, both with and without sustained neutron fluence.Ideal Experience & Skillsets: Education & Experience, • Ph.D. or Master’s degree in Nuclear Engineering, Plasma Physics, Materials Science, Mechanical Engineering, or a closely related discipline., • 10+ years of direct experience in the design, development, or operation of plasmafacing components, divertor systems, or boundary physics in magnetic confinement fusion devices (tokamaks or stellarators) Technical Expertise, • Deep domain knowledge in steady-state plasma exhaust physics, SOL transport, divertor detachment, and high-heat-flux engineering., • Proven familiarity with edge/scrape-off layer simulation codes (e.g., EMC3-EIRENE, SOLPS, SOLEDGE) and FEA/CFD multiphysics tools (e.g., ANSYS, COMSOL) applied to extreme thermal and electromagnetic loads., • Clear understanding of the operational trade-offs between physics performance (core purity, H-mode retention, low and engineering survivability (thermal margins, erosion lifetimes, remote replacement constraints). Core Competencies, • Decisive technical judgment: ability to balance scientific rigor with the aggressive timelines of private fusion commercialization., • Exceptional cross-disciplinary communication skills, with the ability to convey complex plasma-boundary trade-offs to hardware engineers, executives, and investors. Preferred Qualifications, • Direct experience with stellarator magnetic topology (island divertors, nonaxisymmetric strike-lines) or advanced tokamak divertors (Super-X, snowflake, Xpoint target geometries)., • Demonstrated experience integrating diagnostic instrumentation (Langmuir probes, infrared thermography, bolometry, spectroscopy) into active plasma environments.Company Benefits:, • Salary range $165,000 - $230,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quantitative Researcher – Systematic Trading Our client, a leading global quantitative trading firm, is seeking a Quantitative Researcher to join its growing research effort. The firm combines a strong technology platform and high-quality data with a collaborative, research-driven culture where talented people are given real ownership of their work. This is an opportunity for a rigorous, creative researcher to work closely with experienced traders and see their ideas move from research into live production. Responsibilities • Research, develop, and test systematic trading signals across global markets, • Analyze large datasets to identify new sources of alpha, • Build and refine models for prediction, execution, and portfolio construction, • Partner with traders and engineers to deploy and monitor strategies in production, • Continuously evaluate and improve the performance and risk profile of existing strategies Ideal Background • Advanced degree (PhD or Master’s) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field, • 4+ years of experience in quantitative research at a trading firm, hedge fund, or market maker, • Strong foundation in statistics, machine learning, time-series analysis, and optimization, • Experience working with large, granular financial datasets, • Understanding of market microstructure and systematic trading strategies, • Proficiency in Python; experience with C++ is a plus, • Intellectual curiosity, attention to detail, and the ability to communicate research clearly The opportunity offers excellent infrastructure and data, a highly collaborative environment, meaningful ownership of research, and highly competitive compensation tied to performance. All conversations will be handled with complete confidentiality - gareth@delmarnord.com

The Cross-Desk Efficiency Associate supports multiple desks by centralizing common desk processes, providing business and execution analytics, strengthening front-office controls, and identifying opportunities for automation and standardization. The role works closely with traders but does not have trading or market-risk-taking responsibilities. Trading desks retain ownership of pricing, hedging and risk decision Key Responsibilities • P&L quality control, • Reconcile desk’s flash P&L against the official P&L, • Run P&L explainers, • Sales credit and mark-up reconciliations, • Business analytics, • Analyze lost RFQs across key parameters (price, latency, skew, size, venue, competitive behavior) and analyze bad fills, flow quality, and adverse selection. Analyze execution performance and identify potential improvements to pricing controls, including spread, skew and size rules, for review and approval by the relevant trading desk., • Produce and maintain business reports covering volumes, P&L, hit/miss ratios, RFQs, client activity, and electronic vs. voice execution., • Market Data & Platform Controls, • Upload volatility calibration, • Totem submissions (Term SOFR and vol surfaces), • Maintain trader-approved market data, calibration inputs, hedging instruments (UST, futures, options on futures, etc.) and platform configurations across supported desks and systems, • CCPs fire drills, • Position & Trade Controls, • Identify and investigate front-office position and booking discrepancies, coordinating resolution with the relevant Trading, Middle Office and Back Office teams., • Validate front-office positions following portfolio compression and escalate discrepancies, • Efficiency, Automation & Desk Tools, • Identify and implement opportunities for process automation and AI-enabled workflow improvements across desks, • Model trades in pricing tools, • Provide cross-desk support for exceptional operational, control, and platform-related situations Requirements • Experience supporting front-office Markets desks, electronic markets businesses, or related control/analytics functions., • Proficiency in Python for business reporting, quantitative analysis, and process automation., • Solid understanding of financial products including U.S. Treasuries, futures, benchmark hedges, Term SOFR, and volatility surfaces., • Working knowledge of electronic pricing controls and execution analytics in electronic trading platform configuration, pricing parameters (spread, skew, size rules), and market execution analytics., • Strong background in desk P&L reconciliation, position management, P&L explainers, and cross-functional collaboration with Finance, Middle Office, and Back Office., • Familiarity with front-office trading platforms, volatility calibration tools, Totem, and portfolio compression workflows., • Technical background (majors in Math, Engineering, Physics, etc.), • 4 years of experience All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected base salary ranges from $100,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

A leading global multi-strategy hedge fund is seeking a C++ Quantitative Developer to join a newly formed systematic equities investment team based in New York. This is a front-office role focused on the design, development and optimisation of high-performance trading infrastructure, supporting real-time signal generation and the implementation of systematic equity strategies. This position offers direct exposure to the Portfolio Manager and quantitative researchers, alongside the opportunity to shape the team's technology stack from day one. The successful candidate will play a key role in translating research into production-ready systems, building core signal infrastructure and improving performance within a fast-paced environment where technical rigour and close collaboration are highly valued. Key Responsibilities • Design and build a core C++ signal engine supporting real-time feature computation, alpha signal generation, position tracking and risk monitoring., • Develop efficient data integration between production C++ systems and Python-based research workflows., • Implement and optimise the publication of real-time alpha signals into shared execution infrastructure., • Integrate trading systems with central market data feeds and execution platforms., • Develop real-time risk checks, position monitoring, logging and alerting infrastructure., • Optimise system latency and throughput through performance profiling, memory management, concurrent programming and network tuning., • Work closely with quantitative researchers to translate Python prototypes into robust, production-grade C++ code., • Build and maintain backtesting and exchange simulation infrastructure to support strategy validation., • Apply AI-assisted development tools to improve development efficiency while maintaining code quality., • Contribute to the architecture, reliability and ongoing enhancement of the team's trading technology. Requirements • At least 3 years of hands-on experience developing high-performance C++ server-side applications within a Linux environment., • Strong understanding of real-time and event-driven architectures with demanding latency requirements., • Proficiency in Python and working knowledge of Polars, Pandas, NumPy and the wider Python data ecosystem., • Strong familiarity with Apache Arrow and columnar data formats for efficient cross-language interoperability., • Strong understanding of network programming, Linux internals and systems optimisation., • Experience consuming real-time market data feeds and integrating with execution platforms., • Solid knowledge of data structures, algorithms and concurrent or multithreaded programming., • Proficiency with Git, CI/CD, unit testing and software engineering best practices., • Experience with AI-assisted coding tools and willingness to incorporate them into daily development workflows., • Experience building trading systems within systematic equities or quantitative trading is advantageous., • Experience in Finance minimum 1 year., • Familiarity with equity market microstructure, low-latency optimisation, Rust, kdb+/q, analytical databases or cloud infrastructure is beneficial., • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or a related quantitative discipline. To discuss this role in further detail please get in touch and send your resume to: graham@pointonetalent.com www.pointonetalent.com

Corporate Title: Associate Location: New York, NY Overview Group Strategic Analytics (GSA) brings together Deutsche Bank’s quantitative modelling and analytics expertise across businesses. The team develops and delivers strategic analytics, pricing, risk, and P&L capabilities used across the Bank’s trading businesses. We are looking for a Quantitative Strategist to join our Rates business in New York, working closely with Trading, Structuring, and Technology. You will develop quantitative analytics and market data capabilities supporting Fixed Income trading, with particular focus on interest rates products, curves, volatility, pricing, risk, and P&L.This is a highly quantitative, hands-on role offering exposure to the trading desk and the opportunity to combine financial modelling, software development, and markets knowledge to solve real-time business problems. What We Offer You • A diverse and inclusive environment that embraces change, innovation, and collaboration, • A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days, • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement, • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits, • Educational resources, matching gift and volunteer programs What You’ll Do • Partner with Rates Trading, Structuring, and Technology to develop quantitative analytics supporting pricing, risk, P&L, and trading decisions, • Develop and enhance Rates market data and analytics, including interest-rate curves, volatility surfaces, inflation, and related market data, • Design and implement pricing, risk, and relative-value analytics across cash and interest-rate derivatives products, • Build scalable quantitative functionality within the strategic Kannon analytics platform using C++ and/or Python, • Analyze trading and market problems and translate business requirements into effective quantitative and technical solutions, • Contribute to the continued development of the Rates analytics platform through collaboration, innovation, and knowledge sharing across the team Skills You’ll Need • Experience as a Quantitative Strategist, Quant Developer, Front-Office Developer, or similar quantitative professional within Fixed Income, • Strong knowledge of Rates products and markets, including cash products and/or linear or non-linear interest-rate derivatives, • Strong programming skills in C++ and/or Python, with experience developing production-quality quantitative analytics or financial applications, • Understanding of derivatives pricing, risk, hedging, market data, and P&L, combined with strong numerical and problem-solving skills, • Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs Skills That Will Help You Excel • Experience supporting a U.S. Rates, U.S. Treasury, or related Fixed Income trading desk, • Knowledge of interest-rate curves, volatility, inflation products, or Rates derivatives, • Exposure to electronic trading, automated market-making, or execution analytics within Rates markets, • Experience with real-time pricing, risk, market data, distributed computation, or large-scale quantitative platforms, • Academic background in Mathematics, Computer Science, Physics, Engineering, Financial Engineering, Quantitative Finance, or another highly quantitative discipline Expectations It is the Bank’s expectation that employees hired into this role will work in the New York City office in accordance with the Bank’s hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in New York City is $110,000 to $163,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

Role: Backend Python Developer Location: New York City, NY (Hybrid, 3 days) Duration: Full-Time Employee, this role does not allow visa sponsorship. Salary: $140-180K/year Job summary We are seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks. You will build scalable, secure and high-performance APIs and services that power data-driven solutions. The role supports mission-critical systems that use artificial intelligence, electronic health records and other complex, sensitive medical data to make it easier for people to obtain essential life insurance coverage. Required skills: • Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics or a related discipline., • Professional experience developing backend software with Python., • Experience with API design tools and frameworks such as Swagger, OpenAPI and FastAPI., • Other tech skills: Cloud computing and K8s or similar orchestration tools; Docker; relational databases such as PostgreSQL or MySQL and ORM libraries such as SQLAlchemy; and load testing, latency profiling and backend performance optimization. Please send resume ASAP.

Job Description Join a high-performance trading team in a fast-paced global market environment. Following an intensive global training program, you will manage a trading desk, execute strategies, and identify market opportunities alongside senior traders. Key Responsibilities • Manage daily trading positions and execute strategies across diverse asset classes., • Maintain real-time risk oversight and optimize desk performance., • Partner with developers and quants to refine proprietary models and automation tools., • Research and back-test new concepts to capitalize on market inefficiencies., • Provide competitive pricing and ensure seamless execution in high-frequency markets.Requirements, • Degree in a quantitative field (Math, Physics, Engineering, Finance, or CS)., • Exceptional mental arithmetic and logical reasoning under pressure., • Proficiency in Excel; Python, VBA, or C++ skills are a significant plus., • A competitive, entrepreneurial spirit with a proactive approach to problem-solving., • Fluency in English and the ability to thrive in a collaborative, flat structure.

We’re partnering with a world-class systematic trading firm to bring on exceptional quantitative researchers across multiple asset classes! Seeking those who can generate alpha, build cutting-edge models, and push research boundaries. What You’ll Do: • Research alpha across short-term and/or longer-term holding horizons (seconds to hours and/or hours to day+), • Extract signal from massive structured and unstructured datasets, from fundamentals to text, • Design and deploy trading algorithms, • Apply complex machine learning techniques, • Shape robust feature pipelines, model fitting workflows, and statistical measurement tools, • Own projects end-to-end What You Bring: • 5–10+ years of hands-on quant research (on buy-side), • Experience with equities and/or futures (global preferred), • A track record backed by PnL, Sharpe, or clearly measurable signal impact, • Strong skills in Python (C++ a bonus), • PhD preferred but not required; degrees in quantitative areas such as mathematics, physics, statistics preferred Open to NYC, Chicago, and London candidates. Please reach out to A.Harris@X4Alpha.com if you are interested in learning more. -- The base pay for this role will be between $250,000 and $350,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans. Discretionary bonus and/or guaranteed package can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

Quantitative Researchers generate the statistical insights that drive the profitability of our trading strategies. They employ a flexible and ever-expanding toolset to distill robust relationships and incorporate these insights into both existing and novel strategies. The ideal candidate is highly analytical, innovative, and thrives both in open-ended exploration and with specific, time-sensitive projects. Major responsibilities include the analysis of complex data sets to uncover market signals; the development, testing, and implementation of models relating to pricing and return prediction; and research into statistical methodologies to enhance strategy performance and manage risk. Job requirements: • Bachelor's, Master's, or PhD degree in Statistics, Physics, Mathematics, or other quantitative field, • Fluency in Python for data analysis, • Knowledge of statistical and machine-learning methods, • Strong applied research and analysis skills

The Client My client is a highly successful global hedge fund with an established systematic investment platform. They are seeking a Quantitative Researcher with expertise in OTC macro products and sovereign fixed income to join their Systematic Macro Research team. The opportunity centres on developing differentiated alpha in specialist markets, including government bonds, inflation-linked government bonds, basis swaps and other niche swap products. They are particularly interested in researchers who combine rigorous quantitative methods with a deep understanding of market structure, pricing and the drivers of relative value. What You'll Get • The opportunity to develop systematic strategies in specialist macro markets where product knowledge and original research can create a meaningful investment edge., • Close collaboration with experienced Quantitative Researchers, Portfolio Managers and Engineers, with substantial ownership of your research agenda., • Access to extensive datasets, sophisticated research infrastructure and the resources to take ideas through to live deployment., • Scope to build on your core product expertise and explore related opportunities across sovereign debt, inflation and cross-currency markets., • A highly competitive base salary, substantial performance-related bonus and comprehensive benefits package. What You'll Do • Conduct original quantitative research to identify systematic alpha and relative-value opportunities across government bonds, inflation-linked bonds, basis swaps and specialist OTC macro instruments., • Investigate pricing discrepancies across related instruments, incorporating funding costs, liquidity, collateral, supply and demand, and market positioning., • Develop signals and models that capture opportunities such as sovereign bond relative value, inflation breakevens, cross-currency basis and cash-versus-derivative dislocations., • Build rigorous back-tests that reflect executable pricing, transaction costs, financing, instrument conventions and the practical constraints of OTC markets., • Work closely with Portfolio Managers and Engineers to implement successful strategies, assess portfolio exposures and improve live performance. What You'll Need • A Master’s or PhD in Mathematics, Physics, Statistics, Engineering, Economics or another highly quantitative discipline., • Deep expertise in one or more relevant markets: government bonds, inflation-linked government bonds, cross-currency basis swaps, inflation swaps or other specialist macro swap products., • A strong track record of original quantitative research and idea generation, ideally within systematic macro, fixed-income relative value or a quantitative desk strategy role., • Detailed understanding of product pricing, market conventions and risk, alongside strong statistical modelling and time-series research skills., • Strong Python programming skills and experience extracting robust, tradable signals from complex market datasets.

Senior C++ Engineer | High-Performance Systems Compensation: Up to $1.5M Total Compensation | Base Salary Up to $350,000 A leading quantitative trading firm is seeking a Senior C++ Engineer to join a team building some of the most performance-sensitive systems in the world. This is an opportunity for exceptional engineers from highly selective technology environments to apply their expertise to a domain where software performance directly impacts business outcomes. You'll work on complex distributed systems, low-latency infrastructure and performance-critical applications where optimisation, scalability and engineering precision are paramount. Requirements: • Strong modern C++ experience, • Experience building large-scale, distributed or performance-critical systems, • Strong understanding of algorithms, data structures and software design, • Experience operating within high-performance engineering environments, • Passion for solving complex technical problems What Sets Successful Candidates Apart: • Outstanding academic record in Computer Science, Mathematics, Physics, Engineering or a related discipline, • Experience within highly selective engineering or technology organisations, • Demonstrated progression, increasing responsibility and sustained impact throughout your career, • Evidence of exceptional achievement academically, professionally or technically, • Contributions to open-source projects, published research, competitive programming or other technically demanding pursuits The Opportunity: The team hires selectively and maintains an exceptionally high technical bar. They are particularly interested in engineers who have consistently distinguished themselves throughout their academic and professional careers. Successful candidates typically combine deep technical expertise, strong intellectual curiosity and a track record of excellence within demanding environments. This is an opportunity to work alongside highly accomplished engineers on some of the most technically challenging problems in the industry, where performance, precision and engineering quality are fundamental to success.

About BBVA BBVA is a global financial institution with more than 160 years of history and operations in over 25 countries, serving more than 80 million customers worldwide. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. About Global Markets BBVA Global Markets partners with corporations, financial institutions, governments, and institutional investors to provide market access, financing, risk management, and investment solutions across global financial markets. Our teams work across Sales, Trading, Structuring, Capital Markets, and Strategy, combining market expertise with a client-focused approach to deliver innovative financial solutions across multiple asset classes. About the Program The BBVA Global Markets Summer Analyst Program is a 10-week internship designed for highly motivated undergraduate students interested in pursuing a career in Global Markets. Throughout the program, Summer Analysts will work alongside experienced professionals, contribute to meaningful business initiatives, and develop a practical understanding of financial markets, client solutions, and risk management. Participants will receive mentorship, networking opportunities, and broad exposure to Global Markets businesses throughout the internship. What You'll Do • Support day-to-day activities across one or more Global Markets business areas, including Sales, Trading, Structuring, Capital Markets, and Strategy., • Conduct market, economic, and industry research to support business initiatives., • Analyze financial markets, client portfolios, and investment opportunities., • Assist with financial analysis, quantitative modeling, and presentation materials., • Support the development of client solutions and strategic projects., • Collaborate with professionals across Global Markets and other Corporate & Investment Banking teams., • Participate in professional development activities and networking opportunities throughout the internship. Required Qualifications Education • Currently pursuing a Bachelor's degree and expected to graduate between December 2027 and June 2028., • Demonstrated academic achievement., • Students pursuing degrees in Finance, Economics, Business, Mathematics, Engineering, Computer Science, Statistics, Physics, Data Science, or related disciplines are encouraged to apply. Candidates from other majors with a demonstrated interest in financial markets are also welcome. Technical Skills • Strong analytical and problem-solving skills., • Proficiency in Microsoft Excel and PowerPoint., • Exposure to financial markets, financial modeling, programming languages (e.g., Python), or financial platforms (e.g., Bloomberg) is beneficial but not required. Preferred Competencies • Excellent written and verbal communication skills., • Intellectual curiosity and a willingness to learn., • Strong attention to detail and organizational skills., • Ability to work collaboratively in a team-oriented, fast-paced environment., • Proactive mindset with the ability to manage multiple priorities., • High level of integrity, professionalism, and accountability. Application Process Selected candidates will participate in a structured interview process designed to evaluate analytical thinking, communication skills, problem-solving ability, learning agility, and motivation to pursue a career in Global Markets. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. With respect to this position in our New York Office, the expected hourly rate is $35/hour. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. *Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Description Empowerment Academy Charter School is hiring a High School Physics Teacher at Empowerment’s High School. This is for the current 2026/2027 School Year and beyond. We are currently implementing a Critical Need Bonus for certified Science Teachers who successfully join our team of $7,500! PLEASE ONLY APPLY IF CERTIFIED BY THE NJ DOE OR YOUR CERTIFICATION IS PENDING. Base Salary: $70,500-$90,500 Competitive Raises Year to Year and Critical Need Bonus! OUR SCHOOL Empowerment Academy is a dynamic and successful charter school that truly supports its teachers and staff. Empowerment has 4 of its own campuses, and BelovED is our “sister school.” We serve a mix of students that are among the most diverse in America while enjoying the cultural vibrance of Jersey City, Hoboken and New York City. Our staff is a dedicated group of individuals passionate about closing the achievement gap and providing a quality educational program. WE VALUE OUR FACULTY At Empowerment Academy, we emphasize teamwork and community and truly value our faculty: • Evidencing this, compared to those with similar experience, OUR FACULTY MEMBERS ARE AMONG THE HIGHEST PAID IN NEW JERSEY;, • Moreover, we seek to achieve academic success without burning out teachers by meshing an effective education program with effective teacher supports and professional development. TEACHER SUPPORTS Teachers at Empowerment Academy are part of a school-wide team. They receive career-long coaching and professional development support from school leaders; work with their peers in professional learning communities (PLCs) to plan lessons and solve problems; and partner with an array of specialists to meet scholars’ diverse needs. Examples of such teacher supports include: • Abundant planning periods during the school day;, • A research-based curriculum and supporting curricular materials;, • High-quality formative assessments, aligned with the curriculum, that help identify when students have not achieved mastery of a skill, concept, or knowledge item; and, • Full-time reading and math specialists who tutor students struggling to master an essential skill, and counselors and social workers who help students struggling with non-academic problems. Requirements Teacher certification is required for this role. Candidate must hold a CE, CEAS, Limited CE, or Standard Certificate in “Physics" or Physical Science. Benefits Charter schools ARE public schools. Our teachers are part of the New Jersey Teachers’ Pension and Annuity Fund (TPAF), same as teachers at traditional public schools, and can transfer their pension credits from a traditional public school to our school and vice versa. Additional benefits include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan, • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development As an equal opportunity employer, Empowerment Academy hires without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, or disability.

Cantor Fitzgerald, with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and for its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. Cantor has consistently fueled the growth of original ideas, pioneered new markets, and provided superior service to clients. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations around the world. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and solid relationship building. Our structure allows us to respond quickly to client needs, develop solutions that address complex challenges, avoid the limitations of bureaucracy, and attract talented individuals who are driven to succeed. Role Overview We are seeking a Market Risk Manager to enhance our existing risk management framework and process. This role sits at the intersection of quantitative finance and applied artificial intelligence, requiring expertise in both domains. You will partner closely with trading desks, technology, and senior leadership to embed AI-driven insights directly into our risk management structure. Key Responsibilities Risk Monitoring & Reporting • Work as part of the market risk team to produce daily, weekly, and monthly risk reporting across equities, rates, structured fixed income, credit, FX, and commodities, incorporating AI to enhance their content and production., • Develop and enhance risk measures such as VaR, Stress Loss, and Expected Shortfall across the firm’s trading activities., • Define, implement, and monitor flags and limits and escalate as appropriate., • Present risk insights to trading management with clarity, leveraging AI-assisted visualization and commentary tools. Risk Framework & AI Integration • Work to embed AI and machine learning models in the firm’s risk process to enhance stress testing, VaR, and other risk measurement methodologies., • Lead the transition from legacy rule-based risk monitoring to adaptive, AI-powered surveillance systems capable of handling non-linear exposures, risks arising from complex structured products, and tail risks. Required Qualifications • 2 years in market risk management at a bank, asset manager, or hedge fund, • CFA, FRM, or PRM designation preferred, • Bachelor’s degree in Finance, Mathematics, Statistics, Physics, or Engineering, • Advanced degree in a quantitative discipline, • Deep expertise in risk metrics: VaR, Expected Shortfall, Greeks, scenario/stress analysis, Monte Carlo simulation methodologies, • Experience with LLMs or NLP applied to financial data, • Hands-on experience and expertise in Microsoft Excel, SQL, Bloomberg analytics and API, • Coding experience in VBA, R, and Python; experience with MSCI RiskMetrics We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

Title: Front-End Engineer (React Three Fiber · AI-Assisted Development) Location: Hoboken, NJ Onsite About the project We are building a browser-based 3D virtual science lab. Students assemble apparatus, perform experiments, and are assessed on their technique — all rendered in real time with React 19, React Three Fiber (Three.js), and Zustand, built with Vite. The simulation runs on ordinary school hardware, including low-end Chromebooks, so it has to be both convincing and fast, and its behavior has to be deterministic enough to score reliably. What you'll do • Build and own complex React Three Fiber features: interactive 3D equipment, a selection-driven action system, real-time visual effects, and the UI around them., • Keep the app fast on low-end hardware — profile and tune the render loop, manage GPU/CPU cost, and hold a frame budget on Chromebook-class devices., • Keep application state coherent as it grows (simulation state, equipment state, an event log used for assessment, and UI state) using Zustand., • Make accessibility real: full keyboard operation, focus management, ARIA, and screen-reader support are core requirements here, not polish., • Direct Claude Code effectively — decompose work into well-specified, agent-sized tasks, review the output with a senior eye, and know when to write something by hand instead., • Help maintain the conventions, CLAUDE.md guidance, and repo structure that keep AI-generated code consistent and safe., • Collaborate with our 3D technical artist to integrate assets and shaders cleanly. Front-end engineering (the foundation — non-negotiable): • Deep, senior-level React (React 19 / modern React): the render model, hooks discipline, memoization, effect timing, and a real feel for where re-renders and stale closures come from — which matter acutely in an app running a physics loop every frame., • Three.js and React Three Fiber in production. Real command of the scene graph, geometry and materials, the useFrame render loop, and disposal / memory management (WebGL leaks are a real hazard). This is the heart of the role and the skill we weight most heavily — React experience without R3F is not a substitute., • Real-time performance discipline. You think in frame budgets, know what drives GPU vs CPU cost, can profile a render loop, and habitually design for the weakest target device., • State management at scale with Zustand (or clearly transferable experience), keeping a growing state model coherent rather than tangled., • Accessibility as a first-class skill — keyboard navigation, focus management, ARIA, WCAG AA, screen-reader testing. For an education product this is a core requirement and a procurement gate, not an afterthought., • TypeScript, testing, and modern tooling — TypeScript fluency, Vite, a real testing discipline (we favor testing real behavior over mocks), and the judgment to set the quality bar for others. Working effectively with AI coding agents (the differentiator — evaluated seriously): • You can decompose work into agent-sized units — scoping a task with enough context, clear boundaries, and defined done-conditions so an agent produces good work. You write specifications, not wishes., • You review AI output critically — reading every diff with the skepticism you'd bring to a junior's PR, catching the plausible-but-wrong, the convention drift, and the code that passes tests but violates an architectural rule. You never ship output you don't fully understand., • You know when not to use the agent — a feel for which tasks fit an agent well and which are faster or safer done by hand., • You are comfortable with the operating environment around the agent: context management, CLAUDE.md / skills / MCP, and structuring a repo and its conventions so agents produce consistent results. (Multi-worktree / parallel-agent experience is a strong plus.), • You have honest calibration about the tool — neither refusing it nor over-trusting it, with real intuition, from experience, about where it's strong and where it approximates or fabricates. Strongly preferred: • WebGL / GLSL literacy — enough to collaborate with a technical artist and debug shader and asset integration., • glTF / GLB loading and the asset pipeline., • Prior educational, assessment, scientific, or simulation software experience. Pay and Benefits Pay Range Minimum: $55/hour Pay Range Maximum: $ 70/hour HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

CO-FOUNDER, AI LEADERSHIP PRACTICE Glocap | New York This role is open to remote, in-person (New York), or hybrid arrangements. THE OPPORTUNITY Every boardroom is asking the same question: Who should lead AI at our company, and how do we build the right team? For private equity firms and portfolio companies, asset managers, manufacturers, consumer businesses, professional services firms and healthcare organizations, the challenge is not simply adopting AI. It is finding the right people to turn AI into real business results. Glocap has spent three decades placing exceptional people in investment firms and the companies they own. We are launching a new practice focused on helping businesses outside the technology sector recruit AI leaders and build AI teams at every level. We are looking for a Co-Founder to build it alongside a senior Glocap partner. Your partner will lead client development and bring longstanding relationships with CEOs, investors, operating partners and boards. You will lead the talent side: knowing who the exceptional AI builders and operators are, evaluating their real technical achievements, and helping clients assemble the teams they need. This is not a recruiting job that happens to involve AI. It is an AI job whose product is people. WHAT YOU WILL DO • Build a deep network of outstanding AI talent across frontier labs, applied-AI startups, big tech, consulting practices and early AI adopters., • Evaluate candidates engineer to engineer and distinguish actual production experience from impressive vocabulary., • Help CEOs and investors define the AI leadership their business needs, whether that is a Head of AI, Chief AI Officer, AI Operating Partner or another executive profile., • Help clients build complete AI teams, placing engineers, applied researchers, product leaders and other AI specialists at every level, not only the top executive., • Build enduring relationships with candidates; understand their motivation and pair them with the right opportunities., • Use AI-native tools and workflows to rethink sourcing, research, outreach and assessment., • Co-develop the practice's strategy, positioning, pricing, hiring and economics. WHO YOU ARE You are an AI builder who genuinely loves people. You have technical credibility, strong judgment, unusual curiosity about others, and the ambition to create a business rather than simply take another job. Ideally, you have: • A strong technical foundation in computer science, engineering, mathematics, physics or a related discipline., • Hands-on AI or machine-learning experience, typically around two to five years, including shipping real LLM or applied-AI products or systems., • Deep engagement with new models and tools, with opinions grounded in firsthand use., • An instinct for asking good questions, building trust and connecting people., • The ability to translate complex technical ideas into clear business language., • The maturity to advise senior executives and the entrepreneurial drive to build from an early stage. Prior recruiting experience is not required. We expect the right person may never have considered executive search. WHY GLOCAP You will have a true founding role in a new practice while benefiting from an established firm's relationships, reputation and infrastructure. Together with a senior Glocap partner, you will build a business in one of the most consequential shifts in how companies operate. COMPENSATION Annual base salary: 100k and up Plus meaningful profit sharing in the new AI practice, subject to agreed terms. APPLICATION To apply, please email elizabeth@glocap.com.

A leading global multi-strategy hedge fund is seeking a Systematic Macro Quantitative Researcher to join a collaborative investment team based in Houston or New York. This is a front-office role focused on the research, development and implementation of systematic macro strategies, with a particular emphasis on commodities and opportunities across global markets. This position offers direct exposure to a Senior Portfolio Manager and the opportunity to contribute across the full research lifecycle, from idea generation and alpha research through to production implementation. The successful candidate will apply rigorous statistical and quantitative methods to develop predictive signals, enhance research infrastructure and refine systematic investment strategies, operating within an entrepreneurial environment where independent thinking and intellectual curiosity are highly valued. Key Responsibilities • Work closely with the Senior Portfolio Manager to develop and enhance systematic macro investment strategies, with a primary focus on commodities., • Research and generate new alpha ideas across global macro markets., • Analyse diverse datasets to identify predictive relationships and investable opportunities., • Contribute to the full research process, including data preparation, statistical analysis, signal development, backtesting and implementation., • Apply advanced statistical techniques and machine learning to develop and evaluate predictive signals., • Design and build robust quantitative systems to support systematic trading strategies., • Translate research findings into reliable production implementations in collaboration with the Senior Portfolio Manager., • Develop and improve data pipelines, statistical learning tools, alpha analytics and backtesting infrastructure., • Independently evaluate new research ideas and communicate findings clearly to the investment team., • Collaborate with colleagues to improve research methodologies and the overall systematic investment process. Requirements • Preferably 3 or more years of quantitative research experience focused on systematic macro strategies, including alpha research across commodities, FX or rates., • Strong research and programming skills, with proficiency in Python., • Strong understanding of statistical analysis, quantitative modelling and systematic strategy development., • Experience across electricity, natural gas, crude oil, oil products or agricultural commodities is highly advantageous., • Experience researching intraday macro strategies is beneficial., • Knowledge of transaction cost modelling is advantageous., • Experience building production quantitative systems within a hedge fund, proprietary trading firm or systematic investment environment is preferred., • Excellent analytical and problem-solving skills, with intellectual curiosity and a proactive approach to alpha research., • Ability to think independently, approach data analysis creatively and communicate complex ideas clearly., • Ability to contribute effectively within a collaborative, fast-paced investment team., • Bachelor's, Master's or PhD in Mathematics, Statistics, Computer Science, Economics, Physics or a related quantitative discipline is preferred. For more information contact: Elaine Bunyan - elaine@pointonetalent.com Graham Murphy – graham@pointonetalent.com

New York, NY (Hybrid) | Leading $10B+ Investment Management Firm The Opportunity We are recruiting for a leading New York-based investment management firm with over $10 billion in assets under management. The firm is seeking a talented Front Office Quantitative Modeler with approximately 2–6 years of experience to join its structured credit investment team. Our client's primary interest is in candidates with hands-on residential mortgage (RMBS) and loan-level modeling experience. Strong quantitative modelers with relevant ABS, CMBS, or CLO experience will also be considered. This is an opportunity to work closely with investment professionals, developing sophisticated quantitative models and analytical tools that directly support security valuation, investment research, relative-value analysis, and trading decisions. Key Responsibilities • Develop, enhance, and maintain quantitative models for residential mortgage loans, RMBS, and other structured credit products., • Build loan-level cash-flow and credit models incorporating prepayment, delinquency, default, loss severity, and recovery assumptions., • Develop Python-based analytical tools supporting security valuation, scenario analysis, and relative-value investment decisions., • Analyze underlying collateral performance, credit characteristics, and cash-flow behavior., • Work directly with portfolio managers, traders, and research professionals to develop practical investment analytics., • Improve the efficiency, accuracy, and scalability of quantitative modeling and research workflows., • Support modeling initiatives involving ABS, CMBS, and CLO products as appropriate. Qualifications • Approximately 2–6 years of relevant quantitative modeling experience in structured credit, residential mortgages, or related fixed-income products., • Strong preference for direct residential mortgage loan-level modeling experience, including prepayment, default, delinquency, or loss-severity modeling., • Candidates with strong hands-on ABS, CMBS, or CLO modeling backgrounds are also encouraged to apply., • Strong Python programming skills and experience developing quantitative models or analytical applications., • Understanding of structured-credit cash flows, collateral performance, valuation, and risk analytics., • Experience working with large financial datasets and developing production-quality analytical tools., • Strong quantitative, mathematical, and problem-solving skills., • Degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Computer Science, Physics, or Engineering., • Experience supporting portfolio managers, traders, or investment research teams is highly desirable. Additional Considerations • New York City-based hybrid opportunity., • Candidates authorized to work in the United States without employer visa sponsorship are strongly preferred., • Competitive compensation commensurate with relevant experience. Why Consider This Opportunity? This position offers the opportunity to apply sophisticated quantitative modeling techniques in a front-office investment environment where your work will directly influence investment decisions. You will collaborate with experienced investment professionals, work with complex structured-credit products, and develop models and analytical capabilities that support a leading investment management platform. Keywords: ABS, CLOs, Prepayment Modeler, RMBS, Python, C++, Software Developer, Valuation Models, CMBS,Cloud Expertise Please send resumes to Jim Geiger jeg@analyticrecruiting.com

Multi-billion dollar reputable investment manager in NYC seeks Portfolio Manager About Us We are a performance-driven hedge fund focused on relative value, event driven and systematic strategies across global equities and fixed income markets. Our investment process combines deep market expertise with advanced data analytics and systematic, RV models to identify and capture persistent inefficiencies. We are seeking a highly skilled tracked Portfolio Manager with specialized experience in Rates Relative Value trading and a strong foundation in systematic strategies development, PM or 'sub PM' with a statistically measurable alpha in their strategy (rather than macro/fundamental). Role Overview Will be responsible for researching, developing, and executing relative value strategies within global interest rate markets, leveraging models, data-driven signals, and systematic frameworks. You will collaborate with technology and risk teams to continuously improve alpha models, execution efficiency, and portfolio construction. Key Responsibilities • Design and implement non directional, systematic relative value strategies in government bonds, interest rate swaps, futures, and related derivatives., • Analyze and exploit dislocations across yield curves, spread products, and cross-country basis using statistical, technical, and flow-based models., • Collaborate with quant researchers and technologists to enhance strategy signal generation, backtesting frameworks, and risk models., • Oversee daily P&L, exposure, and performance attribution of the rates RV portfolio, with disciplined risk management., • Maintain in-depth understanding of market structure, liquidity conditions, and regulatory impacts on rates trading. Expected Qualifications • Strong experience in a buy-side or sell-side role focused on systematic trading of global rates., • Proven track record of alpha generation in relative value strategies, particularly using quantitative and data-driven approaches., • Strong knowledge of curve dynamics, spreads, basis trading, and rate derivatives., • Proficiency in Python, R, or other programming languages used for modeling, data analysis, and backtesting., • Experience working with large-scale market datasets, including historical pricing, order book data, and macroeconomic releases., • Bachelor’s degree in a quantitative field such as Engineering, Computer Science, Mathematics, Physics, or Finance (Advanced degree or CFA a plus)., • Experience with research and implementation of systematic signals, • Familiarity with portfolio optimization techniques and quantitative risk models., • Ability to work independently while collaborating closely with quant, tech, and execution teams. What We Offer • Competitive base salary and performance-based bonus structure., • Opportunity to manage institutional capital in a sophisticated and technology-enabled environment., • Access to proprietary research infrastructure, data feeds, and advanced analytics tools., • Culture of innovation, collaboration, and continuous improvement. Please contact us for confidential consideration and additional information

About Us Kernel Trading Technologies started as a trading group in a hedge fund and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story. The Role We are seeking highly qualified and talented Quantitative Researchers to join our dynamic team. In this role, you will work closely with our team of portfolio managers, quantitative developers and technologists to develop and improve upon our proprietary trading models and strategies. You will have the opportunity to apply your skills in data analysis, statistical modeling, and machine learning to real-world financial data, and contribute to the success of our trading operations. What you’ll do In this role, you will: • Develop, test, and implement quantitative models for our trading strategies, using advanced statistical techniques and machine learning models, • Analyze large datasets to identify trading opportunities and improve model performance, • Collaborate with quantitative developers to implement models and strategies in our trading system, • Conduct research to stay current on market conditions and industry trends, • Communicate complex quantitative concepts and their implications to non-technical team members What you’ll bring What you need: • Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering, • Strong programming skills, preferably in Python or C++, • Solid understanding of probability, statistics, and machine learning, • Understanding of data structures, algorithmic complexities, and numerical algorithms, • Ability to communicate effectively in a collaborative, complex and highly technical team environment, • Intellectual curiosity and passion for solving challenging problems using technology Job Type: Full-Time Pay: $90,000-$350,000 per year Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Flexible schedule, • Flexible spending account, • Health insurance, • Paid time off, • Parental leave, • Relocation assistance, • Retirement plan, • Vision insurance Compensation Package: • Bonus opportunities, • Signing bonus Schedule: • Monday to Friday, • Work Location: In person

Signal Integrity Engineer - SerDes New York City, NY, USA | On-site $200,000–$250,000 base salary + equity | Relocation assistance available Help shape the next generation of high-speed electronics, AI and hardware simulation. We’re recruiting a Signal Integrity Engineer - SerDes to join a thriving, well-funded startup in New York City, bringing together artificial intelligence, applied physics and electrical engineering to solve complex hardware challenges for leading technology companies. This Signal Integrity Engineer opportunity will take your expertise in SerDes, high-speed digital design and electromagnetic simulation beyond individual PCB designs. Working alongside AI researchers and hardware engineers in NYC, you’ll help develop tools that transform how high-speed electronics are simulated, validated and optimised. If you’re experienced in signal integrity analysis, high-speed serial links, PCB design or SerDes validation, this role offers technical ownership and equity in the business you’re helping grow. The Signal Integrity Engineer - SerDes role: • Apply signal integrity and SerDes engineering expertise to complex high-speed hardware challenges., • Use electromagnetic modelling and EM simulation to analyse and optimise high-speed interconnects., • Contribute practical knowledge of PCB design, lab measurements and hardware validation., • Work with AI researchers and electrical engineers to improve hardware simulation and engineering workflows., • Use Python to support engineering analysis and automation. Skills and experience: • 3+ years’ experience in signal integrity, SerDes or high-speed digital design., • EM simulation experience using Ansys HFSS, Keysight ADS or Cadence Sigrity., • Knowledge of PAM4 signalling, PCIe and IBIS-AMI modelling., • Practical experience with printed circuit boards (PCBs), laboratory measurements and Python programming., • Willingness to work on-site in New York City, with up to 25% travel. Salary and benefits: • $200,000–$250,000 base salary + equity., • Relocation assistance to New York City, NY., • 100% employer-paid medical, dental and vision premiums for you and your dependents., • Unlimited PTO, daily lunch and a 401(k). Looking for your next Signal Integrity Engineer or SerDes engineering role in New York City? Relocating to NYC could put you at the forefront of AI and high-speed hardware development. Apply or message Bhav Patel at Octagon Group for a confidential conversation.

• Director of Finance, • Visia | New York, NY | On-site | Full-time, • Base salary: $175,000–$225,000 per year, • Own the numbers at a physical AI company that deploys into the largest industrial operations in the world. You'll be our most senior finance hire, owning our pricing and hardware strategy, the large commercial projects that move the business, and a material part of our compute strategy., • The role, • Visia deploys physical AI into steel mills, aluminum producers, scrap yards, and the largest processors of waste and secondary materials. Every deployment combines sensors, edge compute, and software, sold on a value case and run for years. That makes our finance as much about hardware, inventory, and capital as it is about recurring revenue., • This is the most senior finance seat at Visia for at least the next two years. You'll report to Raghav, our co-founder and CEO, and work in person at our office near Union Square, NYC. The role pays a base salary with generous early equity., • For your first couple of weeks you'll work closely with our controller. You'll learn exactly which commercial engagements we're working on, how capital flows across the business, and where there's room to improve it., • What you'll do, • Own the numbers. Run inventory management, cash planning, and the balance sheet across every deployment, so we always know what we have, what it costs, and what we can commit to., • Keep the books right. Work with our controller on accounting, closing the books, tax, and audits., • Own our hardware and pricing strategy. Work with customers to understand how they buy, experiment with pricing directly alongside the commercial team, and make sure every deployment pays for itself., • Structure large-scale commercial projects. Build the financial packages behind our biggest agreements, from multi-site rollouts to enterprise-wide programs., • Shape our compute strategy., • Lead strategic projects. Take Visia into new markets, including manufacturing, logistics, and energy, sectors where we believe the platform can make a real difference, and new verticals across America., • Run part of our operating rhythm, including board prep., • What gets us excited, • You come from a finance-heavy background, such as banking, private equity, or strategic finance, ideally followed by operating work at a fast-growing company. You don't need to be a CPA., • You studied something technical: computer science, math, physics, another STEM field, or economics., • You understand how software works. Much of Visia runs through Architect, our internal AI agent, and you'll use it every day to pull data, build models, and get work done., • You're detail-oriented and a broad thinker. You enjoy the structure of a complex financial package as much as the strategy behind it., • You follow the compute market and want a hand in how a company buys and runs compute at scale., • You want to build. After two years, the path is to run a business line, take Visia into new markets, or lead a team., • Expected impact, • 1 month in: You know every commercial engagement we're running and how capital moves through the business, and you've brought Raghav a short list of what to fix first., • 3 months in: You own inventory, cash planning, and the balance sheet. The books close on schedule with our controller, and you're running live pricing experiments with the commercial team., • 12 months in: You've structured the financial packages behind our largest agreements, shaped our compute plans, and helped take Visia into at least one new market., • Benefits, • 100% employer-paid premiums for employee coverage (medical, dental, vision), • 401(k) with company match (100% of the first 3%, 50% of the next 2%), • Meaningful equity with a 10-year post-termination exercise window, • Unlimited PTO, • The range listed is base compensation. We offer participation in our bonus and variable compensation plans to select roles.

Founding AI/ML Engineer (Production) | NYC | $350k + Founding Equity We’re hiring for one of NYC’s top 10 robotics startups. If you’re an elite engineer looking to join an A squad-builders from SpaceX, Palantir, Google & Anduril - this is where you want to be.* Most AI roles are currently focused on generating pixels or text. This team are using LLMs to command multi-ton autonomous machines. Must be based in NYC & role requires US citizenship due to regulatory constraints. We need a Founding AI/ML Engineer to build the production intelligence layer for autonomous heavy machinery. This isn't a research lab. We have real robots, real customers, and systems operating in the field 24/7. Your work won't just generate tokens; it will drive physical outcomes. The Work This is a 100% production role focused on critical AI infrastructure. You are responsible for the intelligence that allows multi-ton machines to act on complex environments. • Production LLMs: Fine-tuning and deploying models that handle mission-critical operational logic., • Systems & Infra: Building the RAG pipelines and data flywheels that power our fleet’s intelligence., • Evals & Determinism: Designing evaluation frameworks to ensure model outputs are safe and reliable enough for heavy hardware., • Problem Solving: Moving from raw telemetry to deployed models. You own the pipeline, the tuning, and the performance in the field. The Team You’ll be joining a high-density team from SpaceX, Palantir, and Anduril. We’ve stripped away the typical corporate friction-no bloated meetings or research for the sake of research. We hire for high agency and low ego. As a founding hire, you aren't just training models; you’re architecting the intelligence of the company. What we're looking for We want high-signal builders who are bored with "wrapper" apps and want to solve hard problems grounded in physics. • Production Grit: You’ve shipped ML systems at scale. You care about inference latency and reliability more than "vibe checks.", • LLM Mastery: Deep experience with fine-tuning, RAG, and prompt engineering in high-stakes environments., • Systems Thinker: You understand the full stack. You know how to optimize models to run efficiently and how to build the infra that supports them., • High-Bar Pedigree: You’ve worked in environments where the standard for "production-ready" is exceptionally high. Stack & Comp • Stack: Python, PyTorch, LLMs, RAG, Vector DBs, Kubernetes., • Location: NYC (Manhattan) - On-site/Hybrid., • Comp: $250k - $500k+ base + Founding Member Equity. The Process: 1 Week & 0 Take-Homes We move as fast as we ship. We can go from first touch to offer in one week: • (Founders) Technical Deep Dive: A conversation about the most complex AI system you’ve actually shipped., • (Team)Practical Pairing: Solving a real-world production ML or data infra problem together. No Leetcode., • (Exec) Founding Team Chat: A focus on judgment, trade-offs & vision. If you’re ready to put AI into the physical world, let’s talk. TL;DR • Role: Founding AI/ML Engineer (Production), • Focus: Fine-tuning, Evals, and RAG for Robotics, • Team: Ex-SpaceX, Palantir, Anduril, Google, • Comp: $350k+ base + Founding Equity, • Process: 1 week. 3 rounds. Equal Opportunity We're hiring for an Equal Opportunity Employer. *All our new jobs are posted here 1st: _

Company Description Polytope Research is a trading and software firm that leverages quantitative methodologies and cutting-edge technology to access and optimize performance in global financial markets. With a commitment to innovation and efficiency, the firm integrates data-driven strategies with advanced tools to deliver superior trading solutions. Known for its collaborative environment and focus on research excellence, Polytope Research fosters a culture of intellectual rigor and continuous growth. Join us to contribute to impactful projects in a fast-paced and dynamic industry. Role Description This is a full-time, on-site role for a Production Trader located in Jersey City, NJ. You will supervise the automated trading systems and respond to market and system events in real time. The role includes analyzing market conditions, collaborating with the Portfolio Manager to enhance trading performance, and maintaining a thorough understanding of trading platforms and tools. You will also play an integral role in maintaining operational risk standards and compliance. We're looking for someone bright, curious, and hungry. A strong technical foundation matters, but so does the drive to learn the business from the ground up. This seat is designed as an entry point: candidates who demonstrate strong judgment and technical aptitude will have a clear path to grow into more senior trading, research, or strategy development roles. Responsibilities • Working closely with the trading team to operate and implement trading strategies, • Launching, supervising, and shutting down Polytope's trading activities on global markets, • Triaging real-time alerts and coordinating with the trading and engineering teams to resolve production issues, • Coordinating with risk, operations, and compliance to assess live trading and respond to unusual market behavior, • Flagging real-time alerts and working with the trading to team to resolve issues in real time, • Documenting, monitoring procedures, and logging production issues as they occur Requirements • Bachelor's degree or higher in a quantitative field (computer science, mathematics, physics, engineering, or similar), • Working knowledge of one or more of the following asset classes: digital assets, equities, futures, options, FX, • Experience with trading systems, execution workflows, and risk monitoring, • Familiarity with high-frequency trading concepts and the operational demands of low-latency systems, • Strong problem-solving skills with the ability to act decisively under pressure, • Clear written and verbal communication, with a collaborative approach to working alongside trading and technology teams, • High attention to detail and a commitment to accuracy, • Able to work on flexible hours and provide weekend and public holiday coverage on a rotation basis, • Familiarity with UNIX, python, and SQL (C++ is a plus, but not required), • Prior experience in algorithmic trading or execution trading is a plus Compensation and Benefits • Competitive base salary, calibrated to experience, • Discretionary annual bonus tied to firm and individual performance, • Health, dental, and vision insurance, • Retirement plan with employer contribution

About the Company We are HCLTech, one of the fastest-growing large tech companies in the world and home to 230,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. About the Role We are building a browser-based 3D virtual science lab. Students assemble apparatus, perform experiments, and are assessed on their technique — all rendered in real time with React 19, React Three Fiber (Three.js), and Zustand, built with Vite. The simulation runs on ordinary school hardware, including low-end Chromebooks, so it has to be both convincing and fast, and its behavior has to be deterministic enough to score reliably. A defining characteristic of how we work: much of this product is built with AI coding agents (Claude Code) across a multi-worktree setup, directed by engineers who scope the work, review every change critically, and encode our conventions so the agents stay on the rails. We are looking for a senior front-end engineer who is excellent at the fundamentals and genuinely effective at directing AI agents — not one or the other. What you'll do • Build and own complex React Three Fiber features: interactive 3D equipment, a selection-driven action system, real-time visual effects, and the UI around them., • Keep the app fast on low-end hardware — profile and tune the render loop, manage GPU/CPU cost, and hold a frame budget on Chromebook-class devices., • Keep application state coherent as it grows (simulation state, equipment state, an event log used for assessment, and UI state) using Zustand., • Make accessibility real: full keyboard operation, focus management, ARIA, and screen-reader support are core requirements here, not polish., • Direct Claude Code effectively — decompose work into well-specified, agent-sized tasks, review the output with a senior eye, and know when to write something by hand instead., • Help maintain the conventions, CLAUDE.md guidance, and repo structure that keep AI-generated code consistent and safe., • Collaborate with our 3D technical artist to integrate assets and shaders cleanly. Required skills and experience Front-end engineering (the foundation — non-negotiable): • Deep, senior-level React (React 19 / modern React): the render model, hooks discipline, memoization, effect timing, and a real feel for where re-renders and stale closures come from — which matter acutely in an app running a physics loop every frame., • Three.js and React Three Fiber in production. Real command of the scene graph, geometry and materials, the useFrame render loop, and disposal / memory management (WebGL leaks are a real hazard). This is the heart of the role and the skill we weight most heavily — React experience without R3F is not a substitute., • Real-time performance discipline. You think in frame budgets, know what drives GPU vs CPU cost, can profile a render loop, and habitually design for the weakest target device., • State management at scale with Zustand (or clearly transferable experience), keeping a growing state model coherent rather than tangled., • Accessibility as a first-class skill — keyboard navigation, focus management, ARIA, WCAG AA, screen-reader testing. For an education product this is a core requirement and a procurement gate, not an afterthought., • TypeScript, testing, and modern tooling — TypeScript fluency, Vite, a real testing discipline (we favor testing real behavior over mocks), and the judgment to set the quality bar for others. Working effectively with AI coding agents (the differentiator — evaluated seriously): • You can decompose work into agent-sized units — scoping a task with enough context, clear boundaries, and defined done-conditions so an agent produces good work. You write specifications, not wishes., • You review AI output critically — reading every diff with the skepticism you'd bring to a junior's PR, catching the plausible-but-wrong, the convention drift, and the code that passes tests but violates an architectural rule. You never ship output you don't fully understand., • You know when not to use the agent — a feel for which tasks fit an agent well and which are faster or safer done by hand., • You are comfortable with the operating environment around the agent: context management, CLAUDE.md / skills / MCP, and structuring a repo and its conventions so agents produce consistent results. (Multi-worktree / parallel-agent experience is a strong plus.), • You have honest calibration about the tool — neither refusing it nor over-trusting it, with real intuition, from experience, about where it's strong and where it approximates or fabricates. Strongly preferred: • WebGL / GLSL literacy — enough to collaborate with a technical artist and debug shader and asset integration., • glTF / GLB loading and the asset pipeline., • Prior educational, assessment, scientific, or simulation software experience. Equal Opportunity Statement HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

At BASIS Independent Schools, we believe students are capable of more than they can imagine, and that the most powerful education inspires them to think for themselves. With expert teachers, a thoughtfully designed curriculum, and a warm, welcoming culture, students grow into fearless and confident thinkers prepared to explore, question, and contribute with purpose. BASIS Independent Schools, a subsidiary of Spring Education Group, is a national network of PreK–grade 12 private, secular schools, with 12 schools located in California, New York, Northern Virginia, and Washington State. BASIS Independent Brooklyn Upper School, a grades 3–12 private school, is seeking qualified candidates for a Physics Teacher for immediate hire! What We're Looking For In this teaching position, you use your passion for your subject to inspire and teach higher-level content than what is typical of secondary students. You work collaboratively with other teachers to create a learning culture in which diverse perspectives are challenged and tested in an environment of informed thought and collegiality. This position will teach sections of grade 8 physics, as well as AP Physics. Your Primary Responsibilities Teach higher level content than grade standards in an interactive learning environment to deliver exceptional results for all students. Has deep knowledge of subject taught. Instruct students in content-specific knowledge and skills to heighten the trajectory of their academic and career success. Implement the BASIS Curriculum by designing effective and creative lessons and assessments to display your passion for the subject and educate students at an internationally competitive level. Collaborate with other BASIS Curriculum Teachers to form a community of smart, talented and interesting people who are passionate about their work and readily willing to work in a professional and academic environment. Guide student behavior to foster academic achievement, personal responsibility, intellect and individuality in all students. Essential Teacher Qualifications: Has deep knowledge of and passion for the subject taught Able to differentiate instruction and engage students in rigorous content Able to create a positive classroom community and build relationships with students Has strong verbal and written communication skills with students, colleagues, and parents Open to feedback and continuous growth Creative in instructional and classroom management strategies (high warm and high firm) Cooperative, collaborative, supportive, flexible Has a strong work ethic and a “do whatever it takes” mindset Additional Qualifications Minimum Qualifications: A bachelor's degree in the subject area. Coursework or experience in education is not required, nor is certification. Preferred Qualifications: Subject-matter postgraduate work (master's or Ph.D.) is preferred. Together with a high level of educational attainment, a successful applicant will demonstrate strong communication skills in teaching ideas, texts, and concepts with precision and confidence. Critically, an applicant must possess a high GPA in their major, excellent recommendations, experience working with children- not necessarily in the classroom- and be open to new ideas in teaching. Benefits: BASIS Independent Schools offers a comprehensive benefits package which includes: Competitive salary dependent on education and experience. Career growth opportunities focused on continuous learning, mentorship, and professional advancement across our network of schools. Retirement options through which eligible participants may receive a 50% Company match for the first 10% of employee earnings deferred. Three PPO medical plans to choose from, as well as dental and vision insurance. An FSA option that allows for pre-tax dollars to cover medical, dependent care, and transit. Student tuition remission for your children to attend our schools. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. In general, this position requires an individual to frequently walk, stand, sit, squat, stoop, reach, kneel, rise from the floor, twist, listen, read, write, and speak the English language. In addition, this position often requires an individual to carry, lift, use repetitive or fine hand movements, and occasionally push, pull, or bend. This position is regularly required to hear and use clear vision with or without correction. Spring Education Group, including, but not limited to SEG Inc., and their affiliates (collectively “Company”) is an Equal Opportunity Employer. All qualified applicants for employment and employees are provided equal employment opportunities, including in recruitment, hiring, and assignment, without regard to actual or perceived race, color, religion and religious creed, sex (including pregnancy and related conditions), sexual orientation, gender identity, gender expression, marital or familial status, age, national origin, ancestry, disability, genetic information, military/veteran status, or any other classification protected by federal, state, or local law. The Company expressly prohibits any form of unlawful employee or student harassment or discrimination.

We are seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks to join the alitheia team. Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics or a related discipline. Ability to collaborate e

Company Description \n Photonium builds AI optical design software. We specialize in intelligent solutions across industries such as quantum technology, defense, aerospace, automotive, life sciences, consumer electronics, semiconductors, and manufacturing, where manually designing optical hardware is a major bottleneck. Photonium is backed by Y Combinator (P25) and part of the NVIDIA inception program. \n \n Role Description \n This is a full-time role for a Founding Machine Learning Engineer, located in Manhattan, NYC. The Founding ML Engineer will develop the core of Photonium’s agentic and deep learning infrastructure. You’ll build models that iterate on optical configurations, use simulation tools as feedback environments, and implement optimization pipelines, evals, and reinforcement learning agents that continuously improve design outcomes. As one of our early technical hires, you’ll shape the foundation of our AI stack and work closely with the founding team (Harvard, Stanford, MIT), and network of optical consultants from Meta, Apple, and more. \n \n What you'll do \n -⁠ ⁠Build models to generate seed lens designs given constraints and specifications. \n -⁠ ⁠Develop RL pipelines that interface with simulation and optimization engines to extract metrics, refine designs, and complement real-world datasets with synthetic data. \n -⁠ ⁠Collaborate with top optical engineers and researchers to embed domain expertise, validate designs, and iterate on real client projects. \n \n What we're looking for \n -⁠ ⁠Strong experience in building and deploying ML pipelines/infra \n -⁠ ⁠Interest in optics and physics-based optimization \n -⁠ ⁠Familiarity with simulation tools is a plus \n \n Contact: founders@photonium.ai \n https://www.photoniumoptics.com

New York, NY (Hybrid) | Leading $10B+ Investment Management Firm \n The Opportunity \n We are recruiting for a leading New York-based investment management firm with over $10 billion in assets under management. The firm is seeking a talented Front Office Quantitative Modeler with approximately 2–6 years of experience to join its structured credit investment team. \n Our client's primary interest is in candidates with hands-on residential mortgage (RMBS) and loan-level modeling experience. Strong quantitative modelers with relevant ABS, CMBS, or CLO experience will also be considered. \n This is an opportunity to work closely with investment professionals, developing sophisticated quantitative models and analytical tools that directly support security valuation, investment research, relative-value analysis, and trading decisions. \n \n Key Responsibilities \n\n • Develop, enhance, and maintain quantitative models for residential mortgage loans, RMBS, and other structured credit products.\n, • Build loan-level cash-flow and credit models incorporating prepayment, delinquency, default, loss severity, and recovery assumptions.\n, • Develop Python-based analytical tools supporting security valuation, scenario analysis, and relative-value investment decisions.\n, • Analyze underlying collateral performance, credit characteristics, and cash-flow behavior.\n, • Work directly with portfolio managers, traders, and research professionals to develop practical investment analytics.\n, • Improve the efficiency, accuracy, and scalability of quantitative modeling and research workflows.\n, • Support modeling initiatives involving ABS, CMBS, and CLO products as appropriate.\n\n \n Qualifications \n\n • Approximately 2–6 years of relevant quantitative modeling experience in structured credit, residential mortgages, or related fixed-income products.\n, • Strong preference for direct residential mortgage loan-level modeling experience, including prepayment, default, delinquency, or loss-severity modeling.\n, • Candidates with strong hands-on ABS, CMBS, or CLO modeling backgrounds are also encouraged to apply.\n, • Strong Python programming skills and experience developing quantitative models or analytical applications.\n, • Understanding of structured-credit cash flows, collateral performance, valuation, and risk analytics.\n, • Experience working with large financial datasets and developing production-quality analytical tools.\n, • Strong quantitative, mathematical, and problem-solving skills.\n, • Degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Computer Science, Physics, or Engineering.\n, • Experience supporting portfolio managers, traders, or investment research teams is highly desirable.\n\n \n Additional Considerations \n\n • New York City-based hybrid opportunity.\n, • Candidates authorized to work in the United States without employer visa sponsorship are strongly preferred.\n, • Competitive compensation commensurate with relevant experience.\n\n \n Why Consider This Opportunity? \n This position offers the opportunity to apply sophisticated quantitative modeling techniques in a front-office investment environment where your work will directly influence investment decisions. \n You will collaborate with experienced investment professionals, work with complex structured-credit products, and develop models and analytical capabilities that support a leading investment management platform. \n \n Keywords: ABS, CLOs, Prepayment Modeler, RMBS, Python, C++, Software Developer, Valuation Models, CMBS,Cloud Expertise \n \n Please send resumes to Jim Geiger jeg@analyticrecruiting.com

The Client \n My client is a highly successful global hedge fund with an established systematic investment platform. They are seeking a Quantitative Researcher with expertise in OTC macro products and sovereign fixed income to join their Systematic Macro Research team. \n \n The opportunity centres on developing differentiated alpha in specialist markets, including government bonds, inflation-linked government bonds, basis swaps and other niche swap products. They are particularly interested in researchers who combine rigorous quantitative methods with a deep understanding of market structure, pricing and the drivers of relative value. \n \n What You'll Get \n\n • The opportunity to develop systematic strategies in specialist macro markets where product knowledge and original research can create a meaningful investment edge.\n, • Close collaboration with experienced Quantitative Researchers, Portfolio Managers and Engineers, with substantial ownership of your research agenda.\n, • Access to extensive datasets, sophisticated research infrastructure and the resources to take ideas through to live deployment.\n, • Scope to build on your core product expertise and explore related opportunities across sovereign debt, inflation and cross-currency markets.\n, • A highly competitive base salary, substantial performance-related bonus and comprehensive benefits package.\n\n \n What You'll Do \n\n • Conduct original quantitative research to identify systematic alpha and relative-value opportunities across government bonds, inflation-linked bonds, basis swaps and specialist OTC macro instruments.\n, • Investigate pricing discrepancies across related instruments, incorporating funding costs, liquidity, collateral, supply and demand, and market positioning.\n, • Develop signals and models that capture opportunities such as sovereign bond relative value, inflation breakevens, cross-currency basis and cash-versus-derivative dislocations.\n, • Build rigorous back-tests that reflect executable pricing, transaction costs, financing, instrument conventions and the practical constraints of OTC markets.\n, • Work closely with Portfolio Managers and Engineers to implement successful strategies, assess portfolio exposures and improve live performance.\n\n \n What You'll Need \n\n • A Master’s or PhD in Mathematics, Physics, Statistics, Engineering, Economics or another highly quantitative discipline.\n, • Deep expertise in one or more relevant markets: government bonds, inflation-linked government bonds, cross-currency basis swaps, inflation swaps or other specialist macro swap products.\n, • A strong track record of original quantitative research and idea generation, ideally within systematic macro, fixed-income relative value or a quantitative desk strategy role.\n, • Detailed understanding of product pricing, market conventions and risk, alongside strong statistical modelling and time-series research skills.\n, • Strong Python programming skills and experience extracting robust, tradable signals from complex market datasets.\n

Quantitative Developer \n \n Delmar Nord has partnered with a leading multi-strategy hedge fund to identify a Quantitative Developer to join their technology team. This is an opportunity to work alongside portfolio managers, researchers, and engineers building the infrastructure and tools that power systematic and discretionary trading strategies across multiple asset classes. \n \n About the Opportunity \n Our client is a prominent hedge fund known for its rigorous, data-driven approach to investing and its investment in top engineering talent. The firm is looking to add a Quantitative Developer who can bridge the gap between research and production, helping translate quantitative models into robust, scalable systems. \n \n Responsibilities \n The Quantitative Developer will design, build, and maintain high-performance systems used for research, trading, and risk analysis. This includes developing and optimizing pricing, signal generation, and execution infrastructure; collaborating closely with quantitative researchers and portfolio managers to implement and productionize models; building tools and libraries to support backtesting, data analysis, and strategy development; working with large, complex datasets to ensure data integrity, performance, and scalability; and contributing to the design of core platform architecture used across trading teams. \n \n Qualifications \n Candidates should have a bachelor's, master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field, along with strong software engineering fundamentals and fluency in C++ and/or Python. Experience in a low-latency, high-performance computing environment is valued, as is a solid grounding in data structures, algorithms, and object-oriented design. Prior experience at a hedge fund, prop trading firm, or other quantitative finance environment is a plus, though strong candidates from adjacent high-performance industries (e.g., tech, HFT-adjacent engineering) will also be considered. Strong communication skills and the ability to work closely with both researchers and engineers round out the ideal profile. \n \n What's Offered \n This role offers highly competitive compensation, including base salary and performance-based bonus, along with the chance to work at the intersection of cutting-edge technology and financial markets, exposure to sophisticated quantitative strategies, and a collaborative, high-caliber team environment. \n \n \n \n

Corporate Title: Associate \n Location: New York, NY \n \n Overview \n Group Strategic Analytics (GSA) brings together Deutsche Bank’s quantitative modelling and analytics expertise across businesses. The team develops and delivers strategic analytics, pricing, risk, and P&L capabilities used across the Bank’s trading businesses. \n \n We are looking for a Quantitative Strategist to join our Rates business in New York, working closely with Trading, Structuring, and Technology. You will develop quantitative analytics and market data capabilities supporting Fixed Income trading, with particular focus on interest rates products, curves, volatility, pricing, risk, and P&L.This is a highly quantitative, hands-on role offering exposure to the trading desk and the opportunity to combine financial modelling, software development, and markets knowledge to solve real-time business problems. \n \n What We Offer You \n\n • A diverse and inclusive environment that embraces change, innovation, and collaboration\n, • A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days\n, • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement\n, • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits\n, • Educational resources, matching gift and volunteer programs\n\n \n What You’ll Do \n\n • Partner with Rates Trading, Structuring, and Technology to develop quantitative analytics supporting pricing, risk, P&L, and trading decisions\n, • Develop and enhance Rates market data and analytics, including interest-rate curves, volatility surfaces, inflation, and related market data\n, • Design and implement pricing, risk, and relative-value analytics across cash and interest-rate derivatives products\n, • Build scalable quantitative functionality within the strategic Kannon analytics platform using C++ and/or Python\n, • Analyze trading and market problems and translate business requirements into effective quantitative and technical solutions\n, • Contribute to the continued development of the Rates analytics platform through collaboration, innovation, and knowledge sharing across the team\n\n \n Skills You’ll Need \n\n • Experience as a Quantitative Strategist, Quant Developer, Front-Office Developer, or similar quantitative professional within Fixed Income\n, • Strong knowledge of Rates products and markets, including cash products and/or linear or non-linear interest-rate derivatives\n, • Strong programming skills in C++ and/or Python, with experience developing production-quality quantitative analytics or financial applications\n, • Understanding of derivatives pricing, risk, hedging, market data, and P&L, combined with strong numerical and problem-solving skills\n, • Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs\n\n \n Skills That Will Help You Excel \n\n • Experience supporting a U.S. Rates, U.S. Treasury, or related Fixed Income trading desk\n, • Knowledge of interest-rate curves, volatility, inflation products, or Rates derivatives\n, • Exposure to electronic trading, automated market-making, or execution analytics within Rates markets\n, • Experience with real-time pricing, risk, market data, distributed computation, or large-scale quantitative platforms\n, • Academic background in Mathematics, Computer Science, Physics, Engineering, Financial Engineering, Quantitative Finance, or another highly quantitative discipline\n\n \n Expectations \n \n It is the Bank’s expectation that employees hired into this role will work in the New York City office in accordance with the Bank’s hybrid working model. \n \n Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. \n \n The salary range for this position in New York City is $110,000 to $163,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

About the Company \n We are HCLTech, one of the fastest-growing large tech companies in the world and home to 223,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. \n \n About the Role \n We are building a browser-based 3D virtual science lab. Students assemble apparatus, perform experiments, and are assessed on their technique — all rendered in real time with React 19, React Three Fiber (Three.js), and Zustand, built with Vite. The simulation runs on ordinary school hardware, including low-end Chromebooks, so it has to be both convincing and fast, and its behavior has to be deterministic enough to score reliably. \n \n What you'll do \n\n • Build and own complex React Three Fiber features: interactive 3D equipment, a selection-driven action system, real-time visual effects, and the UI around them.\n, • Keep the app fast on low-end hardware — profile and tune the render loop, manage GPU/CPU cost, and hold a frame budget on Chromebook-class devices.\n, • Keep application state coherent as it grows (simulation state, equipment state, an event log used for assessment, and UI state) using Zustand.\n, • Make accessibility real: full keyboard operation, focus management, ARIA, and screen-reader support are core requirements here, not polish.\n, • Direct Claude Code effectively — decompose work into well-specified, agent-sized tasks, review the output with a senior eye, and know when to write something by hand instead.\n, • Help maintain the conventions, CLAUDE.md guidance, and repo structure that keep AI-generated code consistent and safe.\n, • Collaborate with our 3D technical artist to integrate assets and shaders cleanly.\n\n \n Front-end engineering (the foundation — non-negotiable): \n\n • Deep, senior-level React (React 19 / modern React): the render model, hooks discipline, memoization, effect timing, and a real feel for where re-renders and stale closures come from — which matter acutely in an app running a physics loop every frame.\n, • Three.js and React Three Fiber in production. Real command of the scene graph, geometry and materials, the useFrame render loop, and disposal / memory management (WebGL leaks are a real hazard). This is the heart of the role and the skill we weight most heavily — React experience without R3F is not a substitute.\n, • Real-time performance discipline. You think in frame budgets, know what drives GPU vs CPU cost, can profile a render loop, and habitually design for the weakest target device.\n, • State management at scale with Zustand (or clearly transferable experience), keeping a growing state model coherent rather than tangled.\n, • Accessibility as a first-class skill — keyboard navigation, focus management, ARIA, WCAG AA, screen-reader testing. For an education product this is a core requirement and a procurement gate, not an afterthought.\n, • TypeScript, testing, and modern tooling — TypeScript fluency, Vite, a real testing discipline (we favor testing real behavior over mocks), and the judgment to set the quality bar for others.\n\n Working effectively with AI coding agents (the differentiator — evaluated seriously): \n\n • You can decompose work into agent-sized units — scoping a task with enough context, clear boundaries, and defined done-conditions so an agent produces good work. You write specifications, not wishes.\n, • You review AI output critically — reading every diff with the skepticism you'd bring to a junior's PR, catching the plausible-but-wrong, the convention drift, and the code that passes tests but violates an architectural rule. You never ship output you don't fully understand.\n, • You know when not to use the agent — a feel for which tasks fit an agent well and which are faster or safer done by hand.\n, • You are comfortable with the operating environment around the agent: context management, CLAUDE.md / skills / MCP, and structuring a repo and its conventions so agents produce consistent results. (Multi-worktree / parallel-agent experience is a strong plus.)\n, • You have honest calibration about the tool — neither refusing it nor over-trusting it, with real intuition, from experience, about where it's strong and where it approximates or fabricates.\n\n Strongly preferred: \n\n • WebGL / GLSL literacy — enough to collaborate with a technical artist and debug shader and asset integration.\n, • glTF / GLB loading and the asset pipeline.\n, • Prior educational, assessment, scientific, or simulation software experience.\n\n \n Equal Opportunity Statement \n HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. \n \n Compensation and Benefits \n A candidate s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. \n How You ll Grow \n\n • At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.\n\n

San Francisco, CA | New York City, NY As a Growth Account Executive at Anthropic, you'll drive expansion and retention of our fastest-growing startup customers by helping them harness the transformative potential of safe, frontier AI. You'll leverage your consultative sales expertise to grow revenue while becoming a trusted strategic advisor, helping customers expand their AI capabilities and unlock new use cases. Working closely with GTM, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong sales acumen with relationship management skills, focusing on growing accounts through strategic upsells while maintaining high retention rates. By driving expanded deployment of Anthropic's emerging products, you will help enterprises scale their AI capabilities while advancing its ethical development. • Drive revenue growth through strategic account expansion and renewals, • Own the full sales cycle for upsell opportunities while maintaining strong retention rates, • Build and maintain trusted relationships with key stakeholders across your portfolio of high-growth startups, • Lead strategic account planning including Quarterly Business Reviews, health checks, and renewal negotiations, • Partner with customers to identify new use cases and opportunities to expand their AI capabilities with Anthropic, • Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap, • Develop and execute account strategies that align Anthropic's solutions with customer business objectives, • Proactively identify and mitigate retention risks while maintaining high customer satisfaction, • 5+ years of experience in sales or account management roles, with a proven track record of growing accounts and exceeding retention targets, • Success as a strategic business advisor, deeply understanding startup needs and creating innovative solutions that align with their vision, • Experience managing complex sales cycles, working with technical stakeholders, and negotiating strategic deals, • Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to C-level executives, • Analytical approach to understanding customer needs combined with creative solutions to drive expansion, • A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality, • Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly, • Experience running strategic business reviews and managing executive relationships, • Track record of consistently meeting or exceeding quota in fast-paced environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 - $380,000 USD Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any linksvisit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable, trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Job Description About G-20 G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance. Role Overview As an Equity Options Trader at G-20, you will be responsible for managing and optimizing a discretionary equity options portfolio. You will collaborate with a team of traders, quantitative researchers, and developers to enhance pricing models, refine trading strategies, and drive superior risk-adjusted returns. This role offers a unique opportunity to contribute to G-20's continued expansion within a fast-paced and dynamic trading environment. Key Responsibilities • Develop, implement, and refine equity options trading strategies with a focus on small-cap equities., • Analyze market microstructure, order flow, and volatility dynamics (including skew, term structure, and implied vs. realized volatility) to identify and capitalize on trading opportunities., • Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools., • Maintain strong awareness of corporate actions, earnings events, and sector-specific catalysts that influence equity and options markets., • Execute trades with precision across listed equity options, ensuring best execution and liquidity management., • Manage portfolio Greeks (delta, gamma, vega, theta) and adjust hedges dynamically in response to changing market conditions., • Contribute to the continuous enhancement of G-20's trading infrastructure, data pipelines, and analytical frameworks., • Monitor portfolio performance and risk metrics, providing regular feedback on strategy effectiveness and market impact. Requirements • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university., • Strong background in options trading with a solid understanding of options pricing theory, volatility trading, and relevant strategies. Experience in high volatility asset classes and leveraged trading is essential., • Proven track record of generating consistent profits (PnL >$2m annually for more than 3 years)., • Experience with quantitative trading and the ability to apply data analysis to trading decisions., • Exceptional analytical and problem-solving abilities, capable of making quick, data-driven decisions., • Excellent communication and collaboration skills, with the ability to collaborate effectively across teams., • Demonstration of a results-driven, proactive, and self-motivated approach. Preferred / Desirable Experience • Experience in a proprietary trading, market-making, or hedge fund environment., • Familiarity with automation and algorithmic execution strategies for options., • Proficiency with trading and analytical tools (e.g. Python, Excel/VBA, SQL). Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description About G-20 G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance. Role Overview As an Index Options Trader at G-20, you will be responsible for managing and optimizing a discretionary index options portfolio. You will collaborate with a team of traders, quantitative researchers, and developers to enhance pricing models, refine trading strategies, and drive superior risk-adjusted returns. This role offers a unique opportunity to contribute to G-20's continued expansion within a fast-paced and dynamic trading environment. Key Responsibilities • Develop, implement, and refine index options trading strategies across major benchmark indices (e.g. S&P 500, Nasdaq 100, Russell 2000, or relevant regional indices)., • Analyze market microstructure, order flow, and volatility dynamics (including skew, term structure, and implied vs. realized volatility) to identify and capitalize on trading opportunities., • Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools., • Maintain strong awareness of macroeconomic events, central bank policy, and geopolitical developments that influence index levels and volatility markets., • Execute trades with precision across listed index options and related futures, ensuring best execution and liquidity management., • Manage portfolio Greeks (delta, gamma, vega, theta) and adjust hedges dynamically in response to changing market conditions, including around key macro events and expiries., • Contribute to the continuous enhancement of G-20's trading infrastructure, data pipelines, and analytical frameworks., • Monitor portfolio performance and risk metrics, providing regular feedback on strategy effectiveness and market impact. Requirements • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university., • Strong background in options trading with a solid understanding of options pricing theory, volatility trading, and relevant strategies. Experience in high volatility asset classes and leveraged trading is essential., • Proven track record of generating consistent profits (PnL >$2m annually for more than 3 years, increasing with experience)., • Experience with quantitative trading and the ability to apply data analysis to trading decisions., • Exceptional analytical and problem-solving abilities, capable of making quick, data-driven decisions., • Excellent communication and collaboration skills, with the ability to collaborate effectively across teams., • Demonstration of a results-driven, proactive, and self-motivated approach. Preferred / Desirable Experience • Experience in a proprietary trading, market-making, or hedge fund environment., • Familiarity with automation and algorithmic execution strategies for options., • Proficiency with trading and analytical tools (e.g. Python, Excel/VBA, SQL). Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description Who we are The world is electrifying, and HVAC is at the center of it. Over the next decade, 100 to 200 million new heat pumps and HVAC units will become the backbone of a decarbonized world, but the industry has no way to keep them running well. The technician workforce has barely grown while the equipment base has multiplied, reactive repairs eat most of a tech's time, and half the installed base gets no real maintenance at all, wasting energy and driving billions in emergency costs. Thalo is fixing this. We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn static equipment into self-monitoring systems and shift service from guesswork to data. Every sensor we deploy makes the platform smarter and builds a dataset on how equipment truly performs that no one else can. We're a small team that has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, and led manufacturing design for Boom Supersonic jets. Now we're bringing that same rigor to one of the most important buildouts of our lifetime. In this role, the sensing systems you build, test, and deploy in the field are what make that platform real: every unit you get running reliably in a customer's building becomes another source of the data no one else has. It's a rare chance to work on a generational climate challenge, with first-of-its-kind hardware and a team of high performers who ship. About the role You'll assemble and test our electronics in our midtown Manhattan office, following documented build and QA procedures. This is a hands-on bench role and a great fit for students, recent grads, or experienced repair technicians who want real hardware experience at a climate tech startup. What you'll do • Assemble and test electronics systems: enclosures, wiring, connectors, soldering, • Flash firmware and run functional and connectivity tests using our test procedures, • Log test results and flag failures or recurring issues to the hardware team, • Label, package, and prep hardware for shipment, • Help improve our build and test checklists as you learn the processWhat you have, • Hands-on experience with electronics assembly, wiring, or bench testing, • Experience in electronics or device repair (phones, laptops, consoles), assembly, or bench testing is a strong plus, • Expert soldering skills, • Careful attention to detail and comfort following a checklist exactly, • Reliability: you show up when scheduled and communicate when you can't, • Experience with multimeters, test equipment, or firmware flashingBonus points, • HVAC, electrical, or building-systems coursework or trade experience, • Micro-soldering or board-level repair experience, • Experience in a production, manufacturing, or quality-control environment, • A knack for spotting ways to make a process faster or more reliable, • A passion for tackling climate change and sustainabilityDetails, • 20–30 hours/week through early December (we'll work with you on the right fit), with possible extension, • Schedule flexible around classes, • On-site in midtown Manhattan, • $25–30/hour, based on experience, plus monthly quality bonuses for high build yield, • Start: ASAP Based on experience, plus monthly quality bonuses for high build yield Commitment to Diversity, Equity, and Inclusion: Thalo Labs is committed to diversity and building an equitable and inclusive environment for people of all backgrounds and experiences. We think that a diverse team is critical to Thalo's success. We especially encourage members of traditionally underrepresented communities to apply, including women, people of color, LGBTQ+ people, veterans, and people with disabilities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About G-20 G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance. Role Overview As a Gold and Precious Metals Options Trader at G-20, you will be responsible for managing and optimizing a discretionary precious metals options portfolio. You will collaborate with a team of traders, quantitative researchers, and developers to enhance pricing models, refine trading strategies, and drive superior risk-adjusted returns. This role offers a unique opportunity to contribute to G-20's continued expansion within a fast-paced and dynamic trading environment. Key Responsibilities • Develop, implement, and refine options trading strategies across precious metals (gold, silver, platinum, and palladium)., • Analyze market microstructure, order flow, and volatility dynamics (including skew, term structure, and implied vs. realized volatility) to identify and capitalize on trading opportunities., • Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools., • Maintain strong awareness of central bank policy, real yields, US dollar strength, inflation data, central bank gold reserves, and safe-haven demand dynamics that influence precious metals and volatility markets., • Execute trades with precision across listed and OTC precious metals options, futures, and physical/spot markets, ensuring best execution and liquidity management., • Manage portfolio Greeks (delta, gamma, vega, theta) and adjust hedges dynamically in response to changing market conditions, including around key macro data releases, central bank meetings, and geopolitical events., • Contribute to the continuous enhancement of G-20's trading infrastructure, data pipelines, and analytical frameworks., • Monitor portfolio performance and risk metrics, providing regular feedback on strategy effectiveness and market impact. Requirements • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university., • Strong background in commodities/precious metals options trading with a solid understanding of options pricing theory, volatility trading, and relevant strategies. Experience in high volatility asset classes and leveraged trading is essential., • Proven track record of generating consistent profits (PnL >$2m annually for more than 3 years)., • Experience with quantitative trading and the ability to apply data analysis to trading decisions., • Exceptional analytical and problem-solving abilities, capable of making quick, data-driven decisions., • Excellent communication and collaboration skills, with the ability to collaborate effectively across teams., • Demonstration of a results-driven, proactive, and self-motivated approach. Preferred / Desirable Experience • Experience in a proprietary trading, market-making, or hedge fund environment., • Familiarity with automation and algorithmic execution strategies for options., • Proficiency with trading and analytical tools (e.g. Python, Excel/VBA, SQL). Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Uncommon High School Science teachers work collaboratively across the network to prepare all students with the tools and knowledge to critically engage in the field of science and develop them into self-directed learners. At the heart of all Science courses is inquiry-based learning, including a robust focus on student discourse and the science practices. Science teachers employ a variety of instructional strategies to develop a passion for scientific questioning and analysis in their students. Our teachers prepare all students such that they have the choice to study and excel in any STEM discipline. We prepare all students to be citizen scientists that have the tools and knowledge to critically engage in the field of science regardless of their university major or professional career. Our teachers become experts in their course content and have a keen sense of how to motivate and inspire high school students. Responsibilities 1. Instruction • You’ll teach a curriculum that includes, but is not limited to, analysis of Biology, Chemistry, Physics, and Environmental Sciences that prepares students for Advanced Placement (AP) and collegiate level coursework., • You'll develop students’ practices skills of questioning, modeling, constructing explanations, data analysis, argumentation, and planning and conducting interactive labs., • You’ll create an environment where students feel confident using their voice to engage in scientific discourse., • You will facilitate student-led discourse, during which students use evidence to make sophisticated claims and synthesize and critique arguments., • You'll facilitate student-led inquiry of various scientific topics and engage students in lab and project-based performance tasks., • You'll work with the Science department to determine academic and engagement goals for students. 1. Data Analysis • You'll meet weekly with your principal and/or instructional coach to analyze and respond to trends in student work samples and assessments., • You'll learn and implement strategies to differentiate instruction for all learners in your classroom. 1. School Culture • You’ll build positive relationships with students to ensure they feel seen, loved, and heard., • You’ll partner with students’ families to ensure appropriate resources are available to support their child's learning needs., • You'll engage in practice-based professional development, mentorship, and coaching sessions., • You'll participate in weekly, school-wide meetings to cultivate community, model our core values, and encourage student achievement., • You'll partner with your grade level team to develop academic goals and practice instructional strategies. Qualifications • A demonstrated commitment to supporting students’ social emotional and academic development, • An enthusiasm for collaborating with internal and external partners in the best interest of students, • A self-directed learner who solicits and implements feedback to improve outcomes and achieve objectives, • Required Experience:, • A demonstrated interest in impacting K-12 students in urban schools and communities (1-2 years experience preferred)., • Academic expertise in Science, Technology, Engineering, Mathematics, or other related fields of study., • Prior to the start of employment, you must have a bachelor's degree from an accredited college or university. Teacher certification is not a prerequisite for consideration at Uncommon Schools in the state of NJ, but you do need to meet NJ state certification eligibility requirements (a final undergraduate or graduate cumulative GPA of 3.0 for graduates on or after 9/1/16, or 2.75 if you graduated prior to 9/1/16). All instructional staff are required to become certified in the state of New Jersey within a reasonable period after beginning employment. Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Our Approach to AI and Your Application At Uncommon Schools, we value thoughtful use of technology. Your responses should begin with your own thinking and reflect your authentic voice, experiences, and commitment to our mission. Generative AI can be used to refine or organize writing, but not to generate initial responses or replace your ideas. Every application is reviewed by a member of our Recruitment Team, and we are committed to understanding the person behind the application. Compensation Compensation for this role is between $60,000 to $85,000. Starting pay is determined using various factors including but not limited to relevant full-time teaching experience, education certifications, and tenure with Uncommon Schools. Candidates without full-time Teaching experience will likely have a starting salary of $60,000. Benefits: • Generous paid time off inclusive of sick time, paid holidays, and ~10 weeks of paid breaks (Spring, Winter, and Summer)., • Extensive, best-in-class training and development, • Comprehensive health, dental, and vision insurance plans + pre-tax flexible spending (FSA), dependent care (DCFSA), and health saving accounts (HSA), • Financial Planning, • New Jersey Pension program, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefit *A detailed list of all SY 26-27 benefits is located _. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Physics teachers will be responsible for supporting student mastery of the laws and applications of motion, forces, and gravity. Understanding of the processes of work and energy and the laws of thermodynamics. Understanding of how light and sound waves function in our environment. Understanding of principles of electricity and magnetism and how they are applied. In addition to teaching Physics curriculum, the teacher will plan and execute labs to supplement student mastery of content. Our teachers prepare all students such that they have the choice to study and excel in any STEM discipline. We prepare all students to be citizen scientists that have the tools and knowledge to critically engage in the field of science regardless of their university major or professional career. Our teachers become experts in their course content and have a keen sense of how to motivate and inspire high school students. Responsibilities 1. Instruction • You’ll teach a curriculum that includes, but is not limited to, analysis of Biology, Chemistry, Physics, and Environmental Sciences that prepares students for Advanced Placement (AP) and collegiate level coursework., • You'll develop students’ practices skills of questioning, modeling, constructing explanations, data analysis, argumentation, and planning and conducting interactive labs., • You’ll create an environment where students feel confident using their voice to engage in scientific discourse., • You will facilitate student-led discourse, during which students use evidence to make sophisticated claims and synthesize and critique arguments., • You'll facilitate student-led inquiry of various scientific topics and engage students in lab and project-based performance tasks., • You'll work with the Science department to determine academic and engagement goals for students. 1. Data Analysis • You'll meet weekly with your principal and/or instructional coach to analyze and respond to trends in student work samples and assessments., • You'll learn and implement strategies to differentiate instruction for all learners in your classroom. 1. School Culture • You’ll build positive relationships with students to ensure they feel seen, loved, and heard., • You’ll partner with students’ families to ensure appropriate resources are available to support their child's learning needs., • You'll engage in practice-based professional development, mentorship, and coaching sessions., • You'll participate in weekly, school-wide meetings to cultivate community, model our core values, and encourage student achievement., • You'll partner with your grade level team to develop academic goals and practice instructional strategies. Qualifications • A commitment to the mission of Uncommon Schools, • A demonstrated commitment to supporting students’ social emotional and academic development, • An enthusiasm for collaborating with internal and external partners in the best interest of students, • A self-directed learner who solicits and implements feedback to improve outcomes and achieve objectives Required Experience: • A demonstrated interest in impacting K-12 students in urban schools and communities (1-2 years experience preferred)., • Academic expertise in Science, Technology, Engineering, Mathematics, or other related fields of study., • Prior to the start of employment, you must have a bachelor's degree from an accredited college or university. Teacher certification is not a prerequisite for consideration at Uncommon Schools in the state of NJ, but you do need to meet NJ state certification eligibility requirements (a final undergraduate or graduate cumulative GPA of 3.0 for graduates on or after 9/1/16, or 2.75 if you graduated prior to 9/1/16). All instructional staff are required to become certified in the state of New Jersey within a reasonable period after beginning employment. Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Our Approach to AI and Your Application At Uncommon Schools, we value thoughtful use of technology. Your responses should begin with your own thinking and reflect your authentic voice, experiences, and commitment to our mission. Generative AI can be used to refine or organize writing, but not to generate initial responses or replace your ideas. Every application is reviewed by a member of our Recruitment Team, and we are committed to understanding the person behind the application. Compensation Compensation for this role is between $60,000 to $90,000. Starting pay is determined using various factors including but not limited to relevant full-time teaching experience, education certifications, and tenure with Uncommon Schools. Candidates without full-time Teaching experience will likely have a starting salary of $60,000. Benefits: • Generous paid time off inclusive of sick time, paid holidays, and ~10 weeks of paid breaks (Spring, Winter, and Summer)., • Extensive, best-in-class training and development, • Comprehensive health, dental, and vision insurance plans + pre-tax flexible spending (FSA), dependent care (DCFSA), and health saving accounts (HSA), • Financial Planning, • New Jersey Pension program, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefit *A detailed list of all SY 26-27 benefits is located _. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Job DescriptionOur mission At Healthpeak, we give our Forward Deployed Software Engineers the autonomy of a startup with the backing, scope, and staying power of a well‑established organization. We exist to transform technology into a revenue‑generating arm of the real estate business, building products and platforms that directly support our tenants, partners, and the teams who serve them every day. We are looking for interns to join us for Summer 2027 ! As an FDSE, you will be part of a small, agile pod and will directly embed with business teams. You will work side‑by‑side with operators, asset managers, and customer‑facing colleagues to rapidly identify opportunities, design solutions, and deliver real value. This is a hands‑on, high‑impact role for engineers who thrive close to users, enjoy ambiguity, and want to see their work make a tangible difference. You will relentlessly prototype, test, launch, and scale new ideas—often moving from concept to production in the matter of weeks. Our first and most important customers are our peers inside Healthpeak, and our ultimate goal is to create delightful, seamless experiences for our tenants and partners by relentlessly minimizing friction. What we’re looking for • Inquisitive engineers who care just as much about why we’re building it as how it should be built. Those who dare to reimagine how work can be done., • Proven programming expertise across languages such as Python, Java, C++, and TypeScript/JavaScript, with hands-on experience developing alongside AI agents (e.g., Claude Code). Backgrounds in Computer Science, Mathematics, Software Engineering, Physics, or Data Science are especially relevant., • Strong technical problem-solving skills, including practical experience with data structures, storage systems, cloud infrastructure, front-end frameworks, and related technologies., • Demonstrated ability to collaborate effectively with both technical and non-technical stakeholders, thriving in fast-paced environments with evolving goals and iterative user feedback., • Self-directed and adaptable learner, capable of working independently and making sound decisions with minimal oversight., • Expected hours: 40 hrs per week over 12 weeks, • Pay rate: $25/hr Powered by JazzHR ss4v1Qi95q

Job DescriptionJob Title: MRI Technologist Location: NYC, NY Duration: 3 months Contract Schedule: Monday, Tuesday, Wednesday, Friday: 10am-6pm & Saturday: 8am-4pm Hourly rate: $71/ hour on W2 Negotiable Job Duties and Responsibilities • Perform MRI imaging procedures according to established protocols and patient needs., • Operate and prepare specialized MRI equipment to obtain diagnostically acceptable images., • Position patients and MRI coils to ensure optimal image quality., • Educate patients about MRI procedures, the area being imaged, and any necessary instructions., • Review patient safety screening questionnaires before allowing patients into the MRI scan room., • Ensure all MRI images are accurately labeled according to departmental SOPs., • Evaluate images for technical quality and ensure timely transmission to PACS., • Complete all imaging studies and patient tracking documentation in IDX (Radiology Information System) accurately and promptly., • Schedule examinations in IDX as required., • Scan and maintain patient-related documents., • Maintain cleanliness of the MRI room and equipment at the beginning and end of each shift, including removal of soiled linens., • Maintain adequate supplies and accessories required for safe imaging procedures., • Follow MRI safety protocols to prevent ferromagnetic materials from entering the scan room., • Adhere to infection control policies to protect patients, staff, and self., • Notify the supervisor or appropriate personnel of equipment repair needs or unsafe conditions., • Assist physicians as required., • Coordinate and call for inpatient examinations as needed., • Perform clerical duties in the absence of support personnel., • Attend required in-service training and professional development meetings., • Maintain all required job-specific licenses and comply with applicable Public Health Code requirements., • Perform other related duties as assigned.Required Skills and Experience, • Strong knowledge of cross-sectional anatomy, physiology, physical sciences, and MRI physics., • Excellent technical skills in MRI imaging procedures., • Ability to obtain high-quality diagnostic images while following established protocols and safety standards.Preferred Skills and Experience, • Minimum of two years of MRI experience preferred., • Breast MRI proficiency preferred., • Breast MRI biopsy experience preferred.