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Overview: We are looking for a Bilingual STEM Expert (German and English) to review, evaluate, and refine AI-generated content involving scientific, mathematical, and technical reasoning across both languages. Your expertise in STEM fields and bilingual communication will be critical to ensuring technical accuracy, translation quality, and instructional clarity. * * * Job Details: Content Evaluation & Auditing: - Review AI-generated STEM content (science, technology, engineering, and mathematics) to ensure technical correctness, logical flow, and conceptual clarity. - Evaluate explanations, problem-solving steps, and final outputs for precision in both German and English. - Identify and document translation errors, scientific inaccuracies, or ambiguities in AI outputs. Multilingual Translation Validation: - Verify that German and English translations preserve the original content's technical meaning, scientific terminology, and intended logic. - Detect and resolve language-specific nuances that could impact learner comprehension. Annotation & Feedback: - Provide clear, structured feedback to improve the quality of AI-generated content and annotation. - Review and suggest refinements to guidelines for STEM topics, problems, and reasoning processes. * * * Ideal Qualifications: Generalist, STEM & Linguistic Proficiency: - Fluent in German and English, with proven experience working on content across both languages. - Solid background in science, engineering, mathematics, or a related technical field. - Experience in bilingual instruction, scientific writing, technical translation, or curriculum development is highly desirable. Analytical Thinking & Problem Solving: - Strong ability to break down complex scientific and technical topics clearly. - High attention to detail and logical consistency in STEM reasoning. - Communication & Feedback Skills: - Familiarity with reviewing or developing educational STEM content, especially for AI or digital learning platforms. * * * Minimum Qualifications: - Master’s degree or PhD in STEM fields (e.g., Engineering, Science, Mathematics, Technology, or related disciplines). - Fluency in both German and English (spoken and written). - 2+ years of experience in the STEM/Generalist field. - Prior experience with annotation, curriculum design, or AI content review is a plus. * * * ### Additional Details: - The role is remote and asynchronous, i.e., you can primarily work on your schedule. - This project will require approximately 15-20 work hours per week. - This position is structured with clear expectations. * * * Application and Onboarding Process: - After submitting your resume, you will have a 15-minute conversation with our AI interviewer to test your research and reasoning skills. - Within a few days, we will reach out for a follow-up call or decision on your application and move forward with project onboarding soon after. About : - Our team is based in San Francisco, CA - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey

Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. You're a good fit if you: - Received your undergraduate degree in US/UK/Canada/Western Europe - Received your graduate degree (or are currently studying) at a top US/UK/Canada/Western European university - Have high attention to detail - Have exceptional written and verbal communication skills - Have excellent proficiency in English Here are more details about the role: - The role is ongoing starting in November and continuing with rolling applications - This phase of the project is scoped to last 1-2 months - Experts are expected to contribute 4-6 tasks per week, each taking several hours to complete - The work is flexible (fully remote and asynchronous) - The work will require rigorous mathematics expertise and ability to follow complex instructions With respect to pay and legal status: - You will be legally classified as an hourly contractor - You will be paid on a weekly cadence via Stripe Connect Screening Process: - You will need to complete a short AI interview and form - the whole application process should last 20-40 minutes ## About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, and Jack Dorsey. * * * Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. Ideal Qualifications:** - Have a Masters or PhD in Mathematics from a top US university.

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Lead Data Scientist who specializes in customer behavior modeling and personalization to join our team. In this role you will develop and implement advanced recommendation and ranking models that power personalized Sportsbook and Casino experiences, and build a deep understanding of customer behavior through the marketing, product, and analytics lens. This role requires a strong background in data science, modern deep learning, and large-scale customer analytics. You will own open-ended, ambiguous problems end-to-end—from ideation and problem formulation, through model research and offline evaluation, to partnering with ML Engineering on production deployment and post-launch iteration. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play • Develop and deploy large-scale recommendation, retrieval, and ranking models (e.g., deep learning with embeddings and transformers) to drive personalized Sportsbook and Casino experiences across business units., • Define and evolve the technical architecture for modern personalization systems (feature pipelines, candidate generation, ranking, feedback loops), partnering closely with ML Engineers and Data Engineering., • Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions, • Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer, • Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making, • Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership, • Stay up to date on the latest advancements in data science and leverage cutting edge technology, • Mentor, brainstorm with, and enable others within the DS team and broader Data organization THE STATS What we're looking for in our next teammate • PhD candidates: demonstrated research in deep neural networks (e.g., representation learning, sequence modeling, transformers) and applications to recommendation / ranking or related problems., • MS candidates: substantial industry experience working with Engineering and Product to design, ship, and iterate on machine-learning-powered products., • 7+ years of applied data science experience (or equivalent research/industry combination) creating and deploying models in production environments., • Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models, • Strong practical experience with modern deep learning for personalization, including embeddings, sequence models, and transformers (experience with CNNs or other neural architectures is a plus)., • Experience in experimentation to validate models' impact and ability to quantify that impact, • Experience using user behavioral, promotional and marketing data in model building, • Proficiency in SQL and Python, • Experience with tech stacks such as MLFlow, Spark, and Databricks, • Can write production level code, understand principles of programming, • Comfortable with ambiguity and complexity, • Interest in Sports and/or Sports Gaming preferred PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $170,000 - $223,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

Overview: We are looking for a Bilingual STEM Expert (Spanish and English) to review, evaluate, and refine AI-generated content involving scientific, mathematical, and technical reasoning across both languages. Your expertise in STEM fields and bilingual communication will be critical to ensuring technical accuracy, translation quality, and instructional clarity. * * * Job Details: Content Evaluation & Auditing: - Review AI-generated STEM content (science, technology, engineering, and mathematics) to ensure technical correctness, logical flow, and conceptual clarity. - Evaluate explanations, problem-solving steps, and final outputs for precision in both Spanish and English. - Identify and document translation errors, scientific inaccuracies, or ambiguities in AI outputs. Multilingual Translation Validation: - Verify that Spanish and English translations preserve the original content's technical meaning, scientific terminology, and intended logic. - Detect and resolve language-specific nuances that could impact learner comprehension. Annotation & Feedback: - Provide clear, structured feedback to improve the quality of AI-generated content and annotation. - Review and suggest refinements to guidelines for STEM topics, problems, and reasoning processes. * * * Ideal Qualifications: Generalist, STEM & Linguistic Proficiency: - Fluent in Spanish and English, with proven experience working on content across both languages. - Solid background in science, engineering, mathematics, or a related technical field. - Experience in bilingual instruction, scientific writing, technical translation, or curriculum development is highly desirable. Analytical Thinking & Problem Solving: - Strong ability to break down complex scientific and technical topics clearly. - High attention to detail and logical consistency in STEM reasoning. - Communication & Feedback Skills: - Familiarity with reviewing or developing educational STEM content, especially for AI or digital learning platforms. * * * Minimum Qualifications: - Master’s degree or PhD in STEM fields (e.g., Engineering, Science, Mathematics, Technology, or related disciplines). - Fluency in both Spanish and English (spoken and written). - 2+ years of experience in the STEM/Generalist field. - Prior experience with annotation, curriculum design, or AI content review is a plus. * * * ### Additional Details: - The role is remote and asynchronous, i.e., you can primarily work on your schedule. - This project will require approximately 15-20 work hours per week. - This position is structured with clear expectations. * * * Application and Onboarding Process: - After submitting your resume, you will have a 15-minute conversation with our AI interviewer to test your research and reasoning skills. - Within a few days, we will reach out for a follow-up call or decision on your application and move forward with project onboarding soon after. About : - Our team is based in San Francisco, CA - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description SENIOR DATA SCIENTIST AGENTIC AI My name is Bill Stevens, and I have a new three month plus contract to hire Senior Data Scientist, Agentic AI opportunity available for a major firm with offices located in Midtown, Manhattan on the West Side and Holmdel, New Jersey that could be of interest to you, please review my specification below. The work week schedule will be hybrid, three days a week in either of the firms’ offices and two days remote. The onsite work site will be determined by the candidate. The ideal candidate should also possess a green card or be of citizenship. No Visa entanglements and no H1-B holding company submittals. The firms Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Their team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. The firm created the Data Science Lab (DSL) to reimagine emerging technologies, evolving consumer needs, and rapid advances in AI. The DSL expedites transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. They are seeking a Senior Data Scientist, Agentic AI who is an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how the firm operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across the firm’s products and services. Key Responsibilities: Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. Build autonomous agents and multi-step reasoning systems that integrate with the firm’s core platforms to deliver measurable business impact. Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across the firm. Qualifications for this role: Passionate about pushing the frontier of AI while applying it to solve real-world business problems. Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field 3+ years of hands-on AI modeling/development experience Strong theoretical foundations in probability & statistics Strong programming skills in Python including PyTorch, Tensorflow, LangGraph Solid background in machine learning algorithms, optimization, and statistical modeling Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success This position pays $150.00 per hour on a w-2 hourly basis or $175.00 per hour on a Corp basis. The Corp rate is for independent contractors only and not third-party firms. No Visa entanglements and no H1-B holding companies. The interview process will include an initial phone or virtual interview screening. Please let me know your interest in this position, availability to interview and start for this position along with a copy of your recent resume.

Job DescriptionOXMAN is a hybrid Design and R&D company that merges design, technology, and biology to create innovative multi-scale products and environments. Our work transcends traditional boundaries, leveraging digital tools and Nature-centric approaches to heal the relationship between humanity and the natural world. Our vision emphasizes synergy between human-made and Nature-grown environments, designing whole systems that positively impact ecological outcomes. We are seeking an enthusiastic and innovation-driven Lead Software Engineer to transform our Eden Technologies—comprising design optimization, generative tools, environmental simulation, and ecosystem behavior models—into an integrated software platform. This role offers a unique opportunity to develop innovative technologies and visually compelling software that supports the digital design of architectural and urban projects optimized for ecosystem services. Join us to redefine how design and technology can coexist with and enhance the natural world. Please provide cover letter and portfolio if available. Responsibilities • Architect and implement software solutions that translate and advance Eden Technologies into integrated, user-friendly, visually engaging applications., • Develop computational methods in data-driven optimization, simulation, and design generation, aligned with Eden Technologies, to enhance ecosystem services, biodiversity, and ecological resilience, • Define and drive the software development roadmap, ensuring alignment with OXMAN's overarching mission and project timelines., • Develop web-based or desktop applications with interactive 3D rendering capabilities., • Collaborate closely with interdisciplinary teams, including computational ecologists, researchers, and designers, to integrate computational methods into robust software products., • Explore and propose suitable frameworks, game engines, and pipelines to deliver high-quality experiences and real-time performance., • Integrate GIS and geospatial data into software solutions, enabling spatial analysis and visualization of ecological data., • Ensure vertical integration of computational tools into cohesive software and horizontal integration through efficient maintenance and modular codebase management., • Actively contribute to defining software architecture and implementing best practices in coding, testing, and deployment., • Provide technical documentation and support, ensuring usability, maintainability, and scalability.Qualifications, • PhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant field, • Minimum 4 years of experience, • Proficiency in modern variants of programming languages such as JavaScript, TypeScript, or C++., • Familiarity with 3D web rendering frameworks (e.g., Three.js) or game engines (Unity, Unreal Engine)., • Familiarity with 3D applications such as Rhino Grasshopper, SideFX Houdini is a plus., • Ability to work collaboratively in multidisciplinary teams., • Strong problem-solving skills, enthusiasm, and creativity to approach complex software development challenges., • Experience with GIS (Geospatial Information Systems) and analysis of remote sensing data., • Experience with computational methods, particularly in applications related to generative design, data-driven optimization and environmental modeling., • Understanding of deep generative modelling methods as it relates to design generation., • Understanding of reinforcement learning techniques and their application in data-driven design optimization scenarios., • Understanding of computational simulation methods for environmental modelling., • Familiarity with ecological modeling, environmental data analysis, or sustainability-focused design principles., • Experience integrating environmental datasets (e.g., climate data, biodiversity records) into software applications.Preferred Qualifications, • Experience or interest in ecological design or architecture software., • Previous involvement with computational modeling, visualization, or simulation software., • Understanding or willingness to learn about ecosystem services, environmental data, and spatial analytics., • Experience collaborating in interdisciplinary teams, bridging software engineering with fields like ecology, architecture, or biology., • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Location

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in mathematics, applied Mathematics, or a related STEM field to join a high-impact AI research initiative in partnership with a leading AI lab. * * * ## Key Domains - Real, Complex, & Functional Analysis - Complex Analysis / Spectrum Theory / Fourier Analysis - Ordinary & Partial Differential Equations - Mathematical Physics / Partial Differential Equations / Dynamical Systems ## Key Responsibilities - Review and audit submitted data, including prompts, solutions, final answers, references, and metadata. - Evaluate task quality using structured turn-level and task-level rubrics (8–10 criteria), ensuring clarity, correctness, and logical consistency. - Verify the accuracy of solutions, reasoning steps, and chain-of-thoughts, identifying flaws, gaps, or inconsistencies. - Provide concise, well-reasoned written feedback to justify evaluation decisions. - Work independently and asynchronously following provided tools and workflows. * * * ## Qualifications - PhD (candidate/recipient) or Masters in Mathematics, Applied Mathematics, or a related STEM field. - Expertise in one or more domains, including: - Mathematics: algebra, geometry, number theory, combinatorics, probability, graph theory. - General domains: summarisation, open/closed Q&A, classification, reasoning tasks. - Strong analytical skills with the ability to evaluate multi-step reasoning. - Excellent written communication and attention to detail. - Ability to work independently in a fully remote environment. * * * ## Role Details - Part-time: 20 hours per week with flexible scheduling. - 100% remote and asynchronous — work from anywhere. * * * ## Compensation & Legal - Contractor position via Mercor, paid hourly. - Competitive rates based on expertise: $20–$30/hour. - Weekly payments processed securely through Stripe Connect. * * * ## About Mercor Mercor is a San Francisco–based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. We partner with leading AI labs to accelerate progress by leveraging top-tier human expertise.

Rates:** $80: Early career professors at top US/UK-based institutions $70: Post-docs & senior PhD students at top institutions globally $60: 1st & 2nd year PhD students * * * ## Key Responsibilities - Design novel, advanced mathematics problems - Closely review, test, and evaluate AI-generated s

Job DescriptionWe are looking for an experienced Portfolio Manager to join a leading financial services team in New York, New York. This role requires a strong background in quantitative research and systematic trading strategies, with a focus on global futures and equities markets. As part of the Quantitative Investment team, you will have the opportunity to design innovative strategies, manage live portfolios, and collaborate with experts to enhance investment performance. Responsibilities: • Develop and refine systematic trading strategies for global futures and equities markets., • Conduct in-depth research using large-scale financial datasets and alternative data sources., • Apply advanced econometric, statistical, and machine learning techniques to identify investment opportunities., • Manage live portfolios, including executing trades, assessing risks, and analyzing performance., • Optimize portfolio construction with advanced risk models and transaction cost analysis., • Monitor market conditions to adjust strategies and maintain effective exposures., • Collaborate with data scientists, engineers, and traders to improve research and execution infrastructure., • Present research insights and portfolio performance to senior leadership and clients., • Contribute to thought leadership through internal discussions and external publications.• Advanced degree (PhD or Master's) in Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering., • Minimum of 5 years of experience in quantitative research or portfolio management focused on futures or equities., • Proficiency in programming languages such as Python, R, or SQL., • Solid understanding of market microstructure, trading mechanics, and global financial instruments., • Proven success in developing and managing systematic strategies in live trading environments., • Strong analytical and communication skills, including the ability to present findings effectively., • Familiarity with machine learning techniques and integration of alternative data., • Experience with portfolio optimization tools and risk platforms like Barra or Axioma.

Master’s or PhD in Machine Learning, Computer Science, Optimization, Statistics, Engineering, Applied Mathematics, or a related quantitative field; or equivalent high-impact industry experience. Demonstrated ability to own multi-project modeling scope across ambiguous problem spaces and integrate

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions 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. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Senior Data Scientist Agentic AI My name is Bill Stevens, and I have a new three month plus contract to hire Senior Data Scientist Agentic AI opportunity available for a major firm with offices located in Midtown, Manhattan on the West Side and Holmdel, New Jersey that could be of interest to you, please review my specification below and I am available at any time to speak with you so please feel free to call me. The work week schedule will be hybrid, three days a week in either of the firms’ offices and two days remote. The onsite work site will be determined by the candidate. The ideal candidate should also possess a green card or be of citizenship. No Visa entanglements and no H1-B holding company submittals. The firms Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Their team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. The firm created the Data Science Lab (DSL) to reimagine emerging technologies, evolving consumer needs, and rapid advances in AI. The DSL expedites transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Senior Data Scientist Engineer, Agentic AI who is an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how the firm operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across the firm’s products and services. Key Responsibilities: Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. Build autonomous agents and multi-step reasoning systems that integrate with the firm’s core platforms to deliver measurable business impact. Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across the firm. You are: Passionate about pushing the frontier of AI while applying it to solve real-world business problems. Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You have: PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field 3+ years of hands-on AI modeling/development experience Strong theoretical foundations in probability & statistics Strong programming skills in Python including PyTorch, Tensorflow, LangGraph Solid background in machine learning algorithms, optimization, and statistical modeling Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success This position pays $150.00 per hour on a w-2 hourly basis or $175.00 per hour on a Corp basis. The Corp rate is for independent contractors only and not third-party firms. No Visa entanglements and no H1-B holding companies. The interview process will include an initial phone or virtual interview screening. Please let me know your interest in this position, availability to interview and start for this position along with a copy of your recent resume or please feel free to call me at any time with any questions. Regards Bill Stevens Senior Technical Recruiter PRI Technology Denville, New Jersey 07834 1-973-354-2799

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer-facing motion is guided by accurate, timely, and actionable intelligence. About the Role As a Senior Data Scientist, Sales Operations, you will play a pivotal role in shaping our commercial strategy and enabling data-driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine-learning models, and translate complex datasets into clear, strategic insights. Your work will directly guide forecasting, planning, segmentation, quota design, and GTM investments. You'll collaborate closely with cross-functional leaders and influence decisions at the highest levels. What You'll Do • Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting., • Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling)., • Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns — and convert them into strategic recommendations., • Lead GTM planning cycles: develop forecasting models, scenario planning, "what-if" analyses, target-setting methodologies, and playbooks., • Produce executive-level reporting and communicate insights and recommendations clearly to senior leadership and cross-functional stakeholders., • Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility., • Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions., • Own the end-to-end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement., • Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data-driven culture within Sales Operations.Who You Are, • 6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high-growth technology environments., • Expertise with SQL, Python/R, large-scale datasets, statistical modeling, machine-learning methods, and data visualization tools., • Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership., • Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes., • Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics., • Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision-ready insights., • Bachelor's degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred.Preferred, • Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling)., • Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.)., • You love uncovering insights in messy datasets and turning them into strategic action., • You're curious about how GTM engines work and how data can unlock revenue growth., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role This is remote, full-time A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. RESPONSIBILITIES: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 8+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, R, C++, and SQL., • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal. Powered by JazzHR UGiRW7qU9F

Job Description Summary/objective This position reports to the Chief Science Officer. We are seeking a passionate and experienced Analytical Chemist to join our team as a STEM Educator. This individual will play a key role in developing laboratory experiences that introduce students to advanced analytical chemistry techniques while fostering a love for science. You will instruct students in an analytical lab equipped with cutting-edge instrumentation, helping them gain exposure to professional methodologies and real-world applications. Why Join Us? • Be part of a mission-driven organization making a tangible impact on students' lives., • Work in a cutting-edge analytical lab with state-of-the-art equipment., • Collaborate with a dynamic team of educators and scientists dedicated to STEM education. (Full-Time Position, 40 Hours/Week, Monday–Friday, 8:00 AM – 4:00 PM) • Instruction and Mentorship:, • Design and deliver engaging, hands-on lessons for middle and high school students., • Explain complex analytical chemistry concepts in a way that is accessible and inspiring to students., • Provide mentorship and encouragement to students, nurturing their interest in STEM fields., • Train laboratory instructors and assistants on analytical instrumentation functions and use., • Train, advise and mentor participants of S2S’ pre-apprenticeship and apprenticeship program., • Lab Operations:, • Operate and maintain advanced analytical instruments, including HPLC, gas chromatography, mass spectrometry, UV/Vis spectroscopy, infrared spectroscopy, Inductively Coupled Plasma (ICP) spectroscopy, and other modern analytical laboratory tools., • Proficiency in wet chemistry techniques (assay development, sample and solution preparation, pH, dilution, and titrations)., • Guide students in performing experiments, analyzing results, and understanding data., • Ensure a safe and productive laboratory environment by following best practices in safety and instrument use., • Have a willingness to learn and instruct cross-discipline skills in STEM., • Curriculum Development:, • Develop and update curriculum content aligned with STEM educational standards and the goals of S2S., • Collaborate with the S2S team members to integrate analytical chemistry techniques and applications into current and future STEM experiences., • Community Engagement:, • Represent Students 2 Science in outreach efforts to schools, families, and partners., • Experience developing protocols, SOPs, or instructional guides., • Demonstrated experience with analytical techniques and method development (HPLC, gas chromatography, mass spectrometry, Inductively Coupled Plasma (ICP) spectroscopy, UV/Vis spectroscopy, and infrared spectroscopy). Candidates proficient at running, maintaining, and developing methods for GC and ICP are preferred., • Familiarity with maintaining and troubleshooting laboratory instrumentation., • Experience in teaching or mentoring middle and high school students preferred., • Ability to convey complex scientific concepts in an engaging and understandable manner., • A strong commitment to inspiring the next generation of scientists and promoting diversity in STEM fields., • Possess problem-solving and decision-making skills., • Highly organized with attention to detail., • Skill in using personal computers and a variety of software applications., • Excellent written and communication skills., • Detail oriented and work with a high degree of accuracy and efficiency., • Positive and happy demeanor - ability to work with others., • Must be self-directed and able to complete projects with limited supervision., • PhD in one or more STEM-related fields (Science, Technology, Engineering, and/or Mathematics), or equivalent related experience., • Health Insurance, • Flexible spending account, • Retirement plan, • Paid time off

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Experts in programming languages such as Python & SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Experience with Alteryx (1+ Year), • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job DescriptionRole: Senior Quantitative AnalystRole DescriptionThe Market Data Solution (MDS) and Risk Master (RM) businesses are seeking a high caliber candidate to join as a Senior Quantitative analyst their Mumbai office. This is a high-profile role which requires strong modelling skills coupled with a strong commercial awareness and excellent communication skills. Knowledge of market data processes or data modelling would be very useful but is not essential.Reporting to the Business Owner for MDS and RM, the key responsibilities are as follows • Develop APIs to for both open source and bank in-house quantitative libraries and market risk engines for both calibration as well as valuation use cases, e.g., • Zero Curve Calibration / Bootstrapping, • Hull White Model Calibration, • Put-Call Parity Analysis on Market Vol Data, • SABR Model Calibration, • Cubic Spline Interpolated Zero Rates, • Credit Curve (Survival Probabilities) Calibration / Bootstrapping, • Risk Factor de-composition: Regression of NonModellable Z-Spread Risk Factor on comparable Modellable Z-Spread Risk Factors to determine Modellable Explained and NonModellable Unexplained Risk Factors, • PCA for Curve Validation, • FX Stochastic Volatility Model: Heston implementationThe role involves the integration of these APIs into the GoldenSource data model. To do this effectively the successful candidate will need to understand these models in the quant or market risk libraries, • Work with the development and pre-sales teams to prototype solutions for Market Risk and FRTB Use cases, e.g., • FRTB Risk Factor Eligibility Test, • Shock generation for Equity Vol Smile using gap filling, • Reconstruction of Equity Index time-series using proxy weightings, • Aggregation of risk sensitivities in Risk Warehouse for the standardized approachTo be considered for this role you will need to have the following:, • MSc or PhD in Financial Mathematics, Mathematics or Physics or equivalent work experience, • Strong Knowledge of option pricing theory and financial mathematic, • Experience in a quantitative role for interest rates, FX or equities gained in an investment bank, • Experience in model’s development, programming and maintenance of model’s libraries, • Knowledge of derivatives products, • Strong programming skills in Python, • Good data modelling skills including some experience with RDMS, • Strong Excel, • Knowledge of Hadoop or Java would be good but not essential, • Prior experience of Open Gamma Strata or QuantLib would be good but not essentialYou will also need strong communication skills and the ability to articulate complex problems and solutions to all audiences. In addition, you should enjoy working in a fast-paced environment and be able to work to tight timescales. Excellent analytical skills with a strong focus on accuracy of information coupled with determination are also desirable skills.

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. This role pays between $65-75/hour. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 10-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late September with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

PhD or Master's degree in computer science, statistics, mathematics, or a related quantitative discipline. Your expertise will guide crucial product features through the entire data science lifecycle including experimentation, model evaluation, and prompt engineering. Oversee the complete data scien

For Undergraduate level teaching: MS in Mathematics or a related field. For Graduate level teaching: PhD in Mathematics or a related field. The Department of Mathematics at New York University seeks highly motivated individuals to teach graduate and undergraduate-level courses on a part-time basis a

Job DescriptionAbout the Role We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure. What You'll Do • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets., • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities., • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment., • Collaborate with engineering and trading teams to deploy and monitor strategies in live production., • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.What We Look For, • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies., • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality., • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets., • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities., • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.Nice to Have, • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA)., • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact)., • Track record of successful signal ideas contributing to live PnL.Summary, • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you. Pay Range: • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience. Strong technical foundation in signal processing, statistics, machine learning, and computer vision. Our research areas include computer vision, computational imagi

A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics. A PhD in a quantitative field (Statistic

Accounting, Accounting & Finance, Mathematics, Finance, Real Estate, Engineering and Business, Engineering preferred. One or more of the following credentials or certifications is required: CPA License, Level 3 of the CFA, JD, PhD, MBA or Master's degree in Finance, Tax, Quantitative Statistics, Fin

Job DescriptionCompany Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution—transforming complex datasets into predictive trading signals that capture short-term market opportunities. You’ll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don’t stay in theory but turn into real, monetized strategies. Key Responsibilities: • Perform rigorous, time-sensitive applied research across diverse data sources—including high-frequency market data and alternative datasets—to uncover systematic anomalies., • Design and engineer predictive features that can be rapidly tested and deployed into production strategies., • Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation., • Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently.Qualifications, • Bachelor, Master’s or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution., • 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred., • Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves., • Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code., • Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor., • High sense of ownership, urgency, and accountability. Additional Information What we offer: • Experience a modern international technology company without the burden of bureaucracy., • Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more., • Enjoy excellent opportunities for professional growth and self-realization., • Work remotely from anywhere in the world with a flexible schedule., • Receive compensation for health insurance, sports activities, and non-professional training.

A PhD in physics, computational materials science, or computer science, earned by January 1, 2026 or by start date. The Simoncelli group in the Department of Applied Physics and Applied Mathematics at Columbia University invites applications for a Postdoctoral Research Scientist in theoretical-compu

Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world's top AI labs. You're a good fit if you: - Received your undergraduate degree in US/UK/Canada/Western Europe - Received your graduate degree (or are currently st

Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world's top AI labs. You're a good fit if you: - Received your undergraduate degree in US/UK/Canada/Western Europe - Received your graduate degree (or are currently st

Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world's top AI labs. You're a good fit if you: - Received your undergraduate degree in US/UK/Canada/Western Europe - Received your graduate degree (or are currently st

Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world's top AI labs. You're a good fit if you: - Received your undergraduate degree in US/UK/Canada/Western Europe - Received your graduate degree (or are currently st