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Be part of an amazing story. Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Lead Data Scientist advances Macy’s enterprise data science strategy by leading complex initiatives that transform customer experience and business performance. This role manages group work, mentors data scientists, and partners with senior stakeholders to embed AI-driven solutions into critical workflows. By ensuring scalability and proof of value (POV), the Lead Data Scientist accelerates innovation and delivers measurable outcomes across the organization. What You Will Do • Lead the design and deployment of advanced data science and AI models for enterprise use cases that solve complex business challenges and influence strategic decisions., • Guide teams in applying Generative AI and Large Language Models (LLMs) to create intelligent, customer-centric solutions., • Oversee hypothesis generation, data requirements, and model development to ensure alignment with business priorities., • Evaluate proof of value (POV) for data science initiatives, determining scalability and pivoting strategies when needed., • Partner with senior stakeholders to translate analytics into actionable strategies that drive retail innovation., • Collaborate with Data Engineering and Architecture teams to implement robust, scalable data pipelines and enterprise data assets., • Ensure responsible AI practices, including governance frameworks and bias mitigation, in all deployed solutions., • Mentor and develop data scientists, fostering a culture of collaboration, technical excellence, and continuous learning., • Communicate insights through compelling visualizations and clear storytelling to influence decisions., • Stay ahead of emerging data science and AI trends to enhance Macy’s capabilities and competitive advantage. Skills You Will Need • Technical Acumen: Proficient in Python, R, SQL, and cloud platforms such as Google Cloud Platform; experienced with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI); understands machine learning concepts and generative AI applications., • Stakeholder Management: Builds strong partnerships with business leaders to embed data science into decision-making processes and ensure adoption of solutions., • Communication: Delivers clear, compelling insights through written, verbal, and visual storytelling to diverse audiences. Who You Are • Brings 5+ years of experience applying data science in business environments, including experience leading group work and mentoring others; advanced degree preferred., • Demonstrates fluency in advanced algorithms, statistical methods, and AI techniques., • Experienced in regression, clustering, time-series analysis, and machine learning., • Comfortable influencing senior stakeholders and managing priorities in fast-paced environments., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

A bachelor’s degree in data science, computer science, statistics, public health, or a related field. Working knowledge of SAS, R, Stata, Python, or SQL, especially for manipulating and examining large administrative health data files. Even if you don’t meet 100% of the qualifications, we encour

Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc. Our freelance role is fully remote so, you just need a laptop, internet connection, ti

Must have experience in each of the following skills: Data architecture; Information technology; Python, SQL; Docker, CI/CD, and Jenkins; Postgres, Microsoft SQL, SSIS, SSRS; AWS Containers and Servers; Enterprise data management technologies including data warehouses, ETL tools, SQL, and master dat

The Mount Sinai Health System (MSHS) is one of the largest healthcare systems in the United States and is at the forefront of leveraging clinical excellence and cutting-edge technology to advance patient care, research, and innovation through data-driven insights. MSHS is home to Minerva, the world’s fastest supercomputer based in an academic medical center, and the Artificial Intelligence Ready Mount Sinai (AIR·MS) research platform. Both are part of a computational and data ecosystem that includes cohort query tools, AI agents, and thousands of applications. Several multi-modal data sources, such as electronic health record (EHR) data from our system-wide Epic instance, and millions of digital pathology slides are linked together and available for analytics, research, and quality improvement initiatives. AIR·MS serves as a key entry point and infrastructure for dozens of departments, groups, and institutes throughout MSHS. We are seeking an engaged physician informaticist with expertise in computation, data analytics, AI, and U.S. healthcare data. The Lead Physician Informaticist partners with researchers and clinicians to ensure effective use of AIR·MS and the broader data ecosystem. In this collaborative, clinically driven role, you will bridge clinical, operational, and research needs across MSHS. Responsibilities include engaging with stakeholders to understand needs, identifying barriers, developing roadmaps, and supporting the deployment of new AIR·MS capabilities. You will also help translate complex research questions into actionable data queries and develop Python/R scripts to generate insights from the OMOP CDM warehouse. Responsibilities: • Leads researcher and clinician engagement, including needs assessment, communication planning, roadmap development, and user experience optimization., • Partners 1:1 with clinicians, researchers, and analysts to refine questions and deliver tailored data solutions., • Communicates complex data concepts clearly across varying levels of expertise., • Designs, writes, and optimizes SQL queries and Python/R scripts against the OMOP CDM to extract and analyze clinical, revenue and research data., • Educates, trains and mentors users on EHR data structures, OMOP CDM concepts, data limitations, cohort definition, cohort query tools, analytical tools and best practices for self-service analytics., • Helps to support researchers to address various challenges associated with data use and analysis across the translational spectrum (T0 to T4)., • Oversees a user ticketing system and develops training sessions on health care data and data warehouses including the use of query tools and direct SQL., • Validates data outputs for accuracy, completeness, and appropriateness., • Identifies and communicates potential biases or limitations in EHR-derived data., • Collaborates with technical, clinical, and compliance teams to improve functionality, data quality, and governance., • Ensures compliance with regulations, institutional policies, and ethical standards in all data handling and dissemination., • Contributes to documentation, standard query libraries, and training materials to enhance organizational data literacy., • Has familiarity with modern artificial intelligence and machine-learning methodologies, including the use of supervised and unsupervised methods, large language models, and transformers., • May manage a small number of staff as required. Requirements: • Bachelors degree in a technical discipline; Masters degree preferred, • 12-15 years preferred of related experience, including 8 years of demonstrated ability in technology area (clinical informatics at a healthcare system and/or in biomedical research), • At least seven years of experience in clinical informatics at a healthcare system and/or in biomedical research., • Understands and has expertise in a broad spectrum of clinical data types, transformations, concept mappings, and standards (such as OMOP Common Data Model, SNOMED, ICD, RxNorm, LOINC, and ontologies) used at academic medical centers., • Demonstrated proficiency in SQL (including complex joins, stored procedures, window functions, and performance optimization) with experience querying large healthcare datasets, as well as using Python and R programming languages., • Understands how to perform quality assurance and quality control assessments of queries, data, and data warehouses., • Must have experience with HIPAA, Compliance and Cybersecurity requirements., • Strong understanding of EHR data, including clinical workflows, documentation practices, and common data quality issues in EHR derived data., • Familiarity with Epic Clarity and Caboodle data models is preferred., • Experience preferred with a variety of multi-modal data including but not limited to: Radiology DICOM tags, Pathology metadata, genomic/WES, return of genetic results., • Understands best practices for software development lifecycles., • Experience working with students, residents, fellows, staff, faculty, administrators with different levels of technological and medical expertise in a large academic medical system., • Effective communication and collaboration skills. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

GCP BigQuery GCP Bigtable GCP Cloud SQL Python. Architect and implement serverless cloud solutions using GCP Bigtable and Python. Design data models and manage large-scale data storage with GCP Bigtable.

Proficiency in Python SQL Spark PySpark TensorFlow or other analytical/model-building programming languages Strong experience in Python Development 5 years of industry experience as a data scientist specializing in ML Modeling Ranking Recommendations or Personalization systems.Strong background of M

Azure services (ACR, Azure Service Bus, Azure Blob Storage, Vault, Azure SQL server, etc. Business Intelligence - Understands T&S business domain and impacts of industry movements. Position: Software Engineer (Python + Kafka or Python + Azure Service Bus).

About Cerberus Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at ___. Job Purpose: Cerberus established our Residential Opportunities investment platform in 2008 to capitalize on opportunities to acquire distressed residential mortgage-backed securities following the Global Financial Crisis. Over the past decade, our Residential Opportunities platform has continued to build upon its expertise in residential debt and evolved to earn recognition as an innovator and market leader in securitizing performing residential real estate loans and investing in single-family rental real estate (SFRs). Our Residential Opportunities strategies seek to maximize absolute return through a combination of capital appreciation and current income, investing primarily in mortgages, loans, and real assets, and leveraging our proprietary asset management platforms to enhance performance and drive value. As an Analyst at Cerberus Operations and Advisory, you will help the team expand its analytic and modeling capabilities across all aspects of Cerberus’ Residential Real Estate strategy, from analyzing hard asset and capital markets transactions to supporting operational excellence. Using the team’s tailored data, you will be expected to create reports, model asset performance, and support research projects. You will partner with portfolio managers, data scientists, and leaders in our proprietary property management platform to build and execute investment and operational strategies that create value for clients. This role operates within a “start-up” environment within the Residential Opportunities platform, requiring comfort operating in a fast-moving, high-ambiguity environment where priorities shift and many problems will not have a predefined path to solution. Responsibilities: • Data Analysis Expertise: Analyze structured and unstructured data related to residential real estate, property management, and credit underwriting operations to uncover and display insights that inform investment decisions., • UI and Presentation Design: Create and support data visualizations via PowerPoint, Python, Tableau, PowerBI., • Strategic Problem Translation: Translate business scenarios and investment ideas into succinct data problems by identifying and analyzing key drivers. Seamlessly align business objectives with appropriate cost functions, demonstrating an acute understanding of available data nuances., • End-to-End Project Ownership: Manage the end-to-end delivery of success criteria, data, algorithms, statistical models, and reporting tools. You will be expected to engage from project inception and work with relevant parties to collect, analyze, and output analysis / models for broad consumption. Work collaboratively within cross-functional teams to ensure timely and high-quality deliverables. Your adeptness will ensure efficient problem-solving and the realization of desired outcomes., • Financial Acumen Development: Demonstrate a proactive approach to expanding knowledge in investing and real estate fundamentals, leveraging analytical skills to explore market trends and financial concepts., • IT Stack Optimization: Comfortable setting up and troubleshooting data connections (e.g., Snowflake, APIs, MCPs) and partnering with IT teams to onboard new tools and systems., • Team Synergy: Collaborate seamlessly with fellow team members, lending your skills to group projects and promoting a cohesive and productive team dynamic., • Flexibility and Initiative: Thrive in a high-ambiguity environment where many assignments will be loosely defined, requiring you to independently frame the problem, identify the right approach, and drive to a conclusion without waiting to be directed. Intellectual curiosity and the habit of proactively seeking out answers on your own are essential to success in this role. Interest in AI and exploration of new analytical tools is a strong plus. Qualifications: • 1-3 years of work experience with a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or a related quantitative field; candidates with a business, finance, or economics background and strong demonstrated technical skills are also encouraged to apply, • Experience with Python, SQL, Git, • Experience with Azure, Snowflake, PowerBI, Fabric a plus. Otherwise, can learn in the role, • Demonstrated ability to manipulate and summarize large datasets, • Highly motivated with excellent attention to detail and organizational skills, • Strong communication skills with the ability to present findings clearly to both technical and non-technical audiences, including senior leadership; comfortable translating ambiguous asks into structured analysis and working within a collaborative team environment The base salary for this position is expected to be between $115,000.00 and $140,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.

Working closely with internal stakeholders translate business requirements into SQL queries and Python scripts for Ad Hoc analysis and custom reporting solutions.

Title Microsoft fabric data engineer. Strong data engineering skills using SQL Python/PySpark and modern lakehouse patterns.

Requires a Masters degree in Data Science Geographic Information Science or a related quantitative field and 2 years of data science experience. Must have experience with: Python; SQL; R; Git; Machine Learning; Deep Learning; Statistical Analysis; Database Management; Natural Language Processing; Ap

Job Location: Dallas TX & NYC NY.Skills: SQL Tableau Python Databricks ETL Pipeline.Design develop & implement ETL processes on Azure/AWS Cloud using Databricks and PySpark.Advanced SQL knowledge capable to write optimized queries for faster data workflows.Must be extremely well versed with handli

Job Position: Python Developer with Mongo DB NoSQL Must. Required Skills are Python Mongo DB No SQL.

Job Description About the Role Our client is seeking a Founding GTM Engineer to architect and own their outbound engine from the ground up. This is a high-impact, builder role at an AI-native startup where you will design the infrastructure that drives pipeline and revenue. We are looking for a "hacker at heart"—someone who thinks like an engineer, acts like a growth operator, and builds durable systems rather than manual processes. The ideal candidate is a fast learner who can conduct deep research into government power structures, track policy shifts, and build automated outreach systems that solve entire categories of problems. What You'll Do • Own the Outbound Engine End-to-End: Drive growth in booked meetings by building scalable sequences, defining targeting logic, and ensuring the right prospects are contacted at the right time., • Build AI-Powered Infrastructure: Design enrichment and messaging workflows using tools like Clay, n8n, and LLMs to deliver high-quality, personalized outreach at scale., • Map Power Structures: Identify key decision-makers, budget holders, and influencers within government and workforce development sectors., • Operationalize Accountability: Implement routing and notification systems so the team knows when accounts go cold or engagement spikes., • Run GTM Experiments: Test new vertical strategies and segmentation models to unlock additional revenue streams., • Iterate Hands-On: Lead the entire research and outreach process, including running the outreach yourself to iterate and improve the system. Minimum Qualifications • Experience: 2+ years of experience in consulting or early-stage GTM/RevOps focused on building automated GTM systems., • Technical Proficiency: Proficient with Python, JavaScript, or SQL, and experienced in connecting systems via APIs and webhooks., • Automation Mastery: Deep familiarity with tools like Clay, n8n, Make, or Zapier, or strong LLM prompting skills for automation., • Strategic Research: Ability to get up to speed on new topics quickly and translate research into actionable GTM materials., • Interest: A genuine curiosity about politics, government, and institutional sales., • Location: Must be able to work on-site in New York City. Nice-to-Haves • Previous founder experience or experience at an early-stage startup., • Experience in government, politics, or high-stakes institutional sales., • Experience building growth systems at a fast-growing, consumer-facing company.

Job Description About Fay At Fay, our mission is to make nutrition a foundational pillar of preventative care, improving outcomes, accessibility, and affordability at scale. We're building AI-powered infrastructure to transform preventative healthcare. Think that's bold? We're just getting started. Today, Fay is a three-sided marketplace connecting providers, patients, and payers to revolutionize preventative care delivery. Our b2b2c business-in-a-box solution empowers dietitians to deliver high-quality, affordable nutrition care, helps patients take control of their health, and enables payers to build healthier member populations. Nutrition is our starting point, not the finish line. The platform we're building will expand into new areas of preventative health and wellness as we grow. We're proud to be one of the fastest-growing companies in healthtech, backed by category-defining investors like General Catalyst, Forerunner, 1984, and Goldman Sachs. Ready to leverage AI-driven technology to transform preventative care and make a real-world impact on health? Let's talk. About This Role As a Data Analyst at Fay, you'll sit in the Strategic Initiatives pod as the strategic partner and analytical engine that powers decision-making across the organization. You're someone who has built data infrastructure at growing companies before; you know what good looks like, and you've seen what breaks at scale. You combine deep technical execution with exceptional business judgment and executive-level communication skills. You excel at translating complex data into clear, compelling insights that drive executive decision-making and company strategy. Whether you're presenting to the C-suite or partnering with product leaders, you know how to distill analysis into actionable narratives that influence direction and accelerate outcomes. You'll be the foundational builder of our data function, establishing the metrics, dashboards, and analytical frameworks that become the single source of truth for teams across the company. This is a role for someone who thrives in 0-to-1 environments, has lived through hypergrowth, and brings both the technical rigor and strategic thinking to build scalable data infrastructure from the ground up. If you're energized by high-impact work, partnering deeply with leadership, and using data to unlock company-wide leverage, this role is for you. What You'll Be Doing • Own data and analytics for critical business areas by partnering directly with executives and cross-functional leaders to define metrics, build analytical frameworks, and deliver insights that drive strategic decisions, • Translate data into executive-ready insights by distilling complex analysis into clear, compelling narratives that influence C-suite decision-making, shape company strategy, and communicate the "so what" with precision and impact, • Architect the data foundations by designing core KPIs, building self-service analytics infrastructure, and establishing the single source of truth that scales with the business, • Build production-grade data infrastructure by developing clean, reliable, well-documented pipelines from ingestion to transformation to reporting, following modern data engineering best practices, • Enable data-driven decision making through intuitive dashboards, self-service capabilities, and tools that give stakeholders fast access to the insights they need, • Drive impact through storytelling by translating complex analysis into clear narratives, actionable recommendations, and executive-ready insights, • Improve data quality and governance by partnering with engineering to ensure systems, pipelines, and models are accurate, consistent, and built for scale, • Surface insights proactively by identifying trends, anomalies, and opportunities before they're asked for, bringing a point of view on what matters most, • 7-10 years of experience in Data Analytics, Analytics Engineering, or Business Intelligence in high-growth tech or healthcare environments, • Proficiency in SQL with the ability to write clean, efficient queries and understand how to optimize, debug, and scale them, • Proven track record building end-to-end analytics solutions from defining metrics and building pipelines to delivering executive dashboards at companies with rapidly changing data needs, • Strong analytics engineering fundamentals including data modeling, dimensional design, and building reusable, tested data transformations, • Experience with modern data transformation and warehousing tools such as dbt, Fivetran, or Snowflake and the ability to debug issues across the pipeline, • Comfort with ambiguity and the ability to structure complex, open-ended problems into clear analytical frameworks, • Executive-level communication skills with a proven ability to translate complex data into compelling insights for the C-suite and cross-functional collaboration, influencing strategic decisions through clear storytelling, and tailoring your message to drive action across the company, • Track record in fast-paced environments with the ability to prioritize, deliver quality work under pressure, and move quickly without sacrificing rigor, • Solid understanding of engineering and development best practices, including clean data modeling, code reviews, testing, and version control See our careers page here to learn more about working on our team. Compensation Range$150,000—$180,000 USD Fay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionSupporting portfolio optimization and analytics within the investments team. Responsibilities: • Develop quantitative fixed income and multisector tools and frameworks and directly contribute to asset allocation decisions., • Present effective investment and correlated portfolio risks within an enterprise-wide risk and capital modelling framework, • Improve and enrich the quantitative fixed income analytical tools related to asset allocation and portfolio optimization, • Provide quantitative assessment of relative value investment opportunities across market sectors and major risk drivers, • Support the modelling and extension of existing risk and asset allocation frameworks Requirements: • Proven academic success with a degree in a numeric discipline such as finance, mathematics, economics, quantitative analytics, or statistics., • Exposure to fixed income products, bond math, and an interest to deepen this knowledge is required, • Broad knowledge across Investment Grade, High Yield, and Alternative Investment products as well as an understanding of additional asset classes is desired. This experience may come from a combination of academic, job-related, and/or professional certifications (e.g. CFA, FRM), • Comfortable programming one or more of the following data reporting and display languages and tools is required: Python, SQL, Matlab/R, VBA, PowerBI, Tableau For immediate consideration, please forward resume and contact details to: Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit Ashton Lane Group® “A trusted advisor throughout your career”

Job Description About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier subject-matter experts as instructors., • Collaborate with instructors to create engaging content., • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production., • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • A solid technical background in Python and SQL. A technical background in data engineering is a plus., • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences., • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development., • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course., • An existing network of potential subject matter experts who can become DataCamp instructors. Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI., • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more., • Competitive Compensation – We offer a competitive salary with attractive benefits., • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture., • Professional Growth – Access to a yearly learning & development budget., • Global Culture – Join a team that values international collaboration., • Annual Retreats – Participate in international company retreats, fostering a global team spirit.

Job Description Job Title: Java Developer Location: New York, NY (Hybrid) Job Type: Full Time Work Authorization: Visa Independent only Job Summary: We are looking for a Java Developer to with 2–3 years of experience build, maintain, and improve our software applications. You will write clean and efficient code, fix bugs, and collaborate with our team to develop high-quality solutions. Requirements: 2-3 years of Java and object-oriented programming Experience with frameworks such as Spring or Hibernate Understanding of databases (SQL or NoSQL) Familiarity with version control tools (e.g., Git) Good problem-solving skills Ability to work in a team environment Nice to Have: Experience with cloud services (AWS, Azure, or GCP) Knowledge of RESTful APIs Front-end skills (HTML, CSS, JavaScript) Company DescriptionMagnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.Magnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.

Job DescriptionCompany Description Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world. Job Description Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. • Design, build, and maintain full-stack applications using Python on the backend and React / Next.js on the frontend, • Develop APIs and services that integrate with internal platforms, data sources, and third-party tools, • Develop retrieval-augmented generation (RAG) pipelines and LLM-based workflows using tools such as LangChain or LlamaIndexQualifications, • Minimum of 8 years of hands-on experience building production systems using Python, with strong experience working with enterprise data platforms and databases (e.g., Snowflake, Databricks, PostgreSQL, MS SQL), • Frontend development experience with React and/or Next.js, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex), • Prior experience or exposure to the investment management or financial services industry Additional Information

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Junior Investment Analyst (Buy-Side) Type: Contract Compensation: $105/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities • Conduct equity and macroeconomic research across sectors to support AI model training., • Build and interpret financial models (DCF, comps, scenario analysis) to enhance AI reasoning., • Analyze earnings reports, filings, and market data for improved model outputs., • Assist in generating investment theses and risk assessments to refine AI-generated outputs., • Evaluate AI-generated outputs for financial accuracy and reasoning quality. Must-Have • 1–3 years of experience in investment banking, equity research, or buy-side roles., • Strong understanding of financial statements and valuation techniques., • Proficiency in Excel; familiarity with financial modeling., • Clear written and verbal communication skills., • CFA Level I/II candidate., • Exposure to public equities or asset management., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description VP Data Science As the VP of Data Science, you’ll play a critical role in building a data-driven culture and driving strategic initiatives. You’ll leverage a rich data-set built on a mature data pipeline that has captured millions of events a day over millions of users. You'll lead a nimble team that uses machine learning, predictive analytics, and engineering to partner with the product, marketing, operations & analytics to drive growth and further efficiencies. You'll be expected to creatively spearhead projects, possess the communication skills to collaborate with other teams, as well as the technical skills to deliver sophisticated projects from concept to production. What you'll do: · Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization · Be a technical leader and mentor for the data science team, helping institute best engineering practices (coding standards, automated testing, CI/CD, scalability) · Work with the leadership team in establishing a long-term vision for the company while building out a roadmap of data science development and applications · Conceive, develop, implement, and continually improve machine learning projects · Use your creativity and intuition to help find and solve the fun, challenging problems we work on every day · Influence the development of additional capabilities to deliver business outcomes through the use of automated algorithms on the platform · Work with stakeholders including the Executive, Product, Data and DevOps teams to assist with data-related technical issues and support their data infrastructure needs. · Manage and oversee an optimal data pipeline architecture · Manage and oversee the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. · Keep our data separated and secure · Work with data and analytics experts to strive for greater functionality in our data systems · Work in a stack built primarily around Python, Airflow and AWS What we're looking for: · 10+ years in data science/machine learning experience · 5+ years of managing a team of data scientists and/or data engineers · Ability to combine traditional techniques and cutting-edge research to build innovative data-driven products · Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases · Experience in model deployment and scaling as well as deep learning networks · Experience building and optimizing ‘big data’ data pipelines, architectures and data sets · Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement · Strong analytic skills related to working with unstructured datasets · Build processes supporting data transformation, data structures, metadata, dependency and workload management · A successful history of manipulating, processing and extracting value from large disconnected datasets · Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores · Strong project management and organizational skills · Experience supporting and working with cross-functional teams in a dynamic environment · Experience with big data tools: Hadoop, Spark, Kafka, etc. · MS in Computer Science, Statistics, Engineering, or a related quantitative field

Job Description The Role MEI is hiring a Senior Associate, Commercial Analysis for a high-impact role focused on power markets and energy storage. This position plays a meaningful role in supporting investment decisions, commercial strategy across our renewable and storage portfolio, with analysis that directly informs how and where we deploy capital. Reporting to the Manager, Commercial Analysis, the Senior Associate will work closely with business development, investment, and operations teams to evaluate market opportunities, assess risk, and ground commercial recommendations in detailed power market analysis. This role is well-suited for a highly analytical, detail-oriented professional who is excited to contribute to disciplined capital deployment in a rapidly evolving energy landscape. Responsibilities Power Market & Storage Analysis • Analyze U.S. wholesale power markets (energy, capacity, and ancillary services) to evaluate revenue opportunities and risks for renewable and energy storage assets., • Assess energy storage economics across multiple value streams, including energy arbitrage, capacity, ancillary services, and congestion-related opportunities., • Build, maintain, and refine revenue models for standalone storage, hybrid, and renewable generation projects., • Support investment underwriting, project valuation, and bid strategy development using market forecasts and scenario analysis., • Support commercial strategy related to market participation, offtake structures, and risk management approaches., • Assist with diligence for project acquisitions and new development opportunities. Required • Bachelor's degree in economics, engineering, finance, mathematics, or a related quantitative field., • 2–5 years of relevant experience in power markets, energy analytics, renewable energy, energy storage, consulting, or investment analysis., • Strong understanding of U.S. wholesale electricity markets and ISO/RTO market structures., • Experience modeling or evaluating revenues for energy storage and/or renewable assets., • Advanced Excel skills; experience with Python, R, SQL, or similar analytical tools preferred., • Experience with market forecasting tools or vendors (e.g., Aurora, PLEXOS, Enverus, Wood Mackenzie)., • Familiarity with hybrid renewable + storage projects., • Intellectual rigor and attention to detail., • Ownership mentality and accountability., • Collaborative, cross-functional mindset., • Comfort operating in evolving and imperfect market environments., • PTO and company holidays, • Medical, dental, vision, • Employer-paid short-term disability, long-term disability, life insurance, • 401(k) and company match, • Professional development stipend

Job DescriptionCompany Description We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 5,800+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world’s top-15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities. Job Description You will be dedicated to one of our premiere clients and will work as an integral part of their team. You will play a vital role in ensuring proper oversight of private equity funds, particularly US private wealth products. This role offers the opportunity to collaborate with a dynamic global team and contribute to the continued success of the firm. What you’ll do • You will review and approve NAVs and financial statements by validating performance, controls, and portfolio movements prepared by external providers., • You operate and enhance firm‑wide private markets models and systems to support accurate reporting., • You ensure your SEC filings and regulatory reports are complete, accurate, and delivered on time., • You coordinate with third‑party service providers—auditors, administrators, custodians—by managing workflows and reviewing their deliverables., • IQ-EQ offers a comprehensive benefits package designed to support employees' well-being and work-life balance., • Employees receive generous paid time off, including 4 weeks of PTO that increases over time, sick time and paid holidays, and financial wellness is supported through a 401(k) plan with a company match (subject to eligibility)., • Health benefits include medical, dental, vision, mental health support and additional ancillary insurance plans., • Additional benefits include paid parental leave and a hybrid work schedule, promoting both personal and professional fulfillment., • The salary for this position will be dependent on experience and location.Qualifications, • You hold a bachelor’s degree in accounting or finance and are a CPA or active CPA candidate., • You bring 7+ years of SEC reporting, private markets fund accounting, controlling or audit experience, with private credit exposure as a plus., • You possess strong US GAAP knowledge and private markets expertise, with bonus skills in VBA, SQL, Python, and advanced Excel., • You demonstrate exceptional attention to detail, communication, accountability, and the ability to thrive in a fast‑paced global environment with many stakeholders., • You show high initiative, urgency, and passion for contributing to a leading private markets firm’s ongoing success. Additional Information Our commitment to you and the environment Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment. There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 5,800+ employees - from 94 nationalities, across 25 countries - to each achieve their potential. Through IQ-EQ Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. We’re committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success leads to our sustainability and success. We’re emotionally invested in our clients right from the beginning. #LI-HYBRID

Job Description About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. Role Overview We are hiring our first Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset transactions – including ACH fraud and compliance with applicable regulations like the Patriot Act and Bank Secrecy Act. This is a critical position, reporting directly to the CEO, and will require a combination of technical, analytical, and regulatory expertise to build a robust fraud detection and risk assessment framework from the ground up. Key Responsibilities * Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape. * Take action to resolve automatically flagged transactions and individuals * File suspicious activity reports as required * Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends. * Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats. * Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents. * Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics. * Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations. * Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders. * Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design. * Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics. * Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework. Qualifications * Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field. * 5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments. * Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R). * Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems. * Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention. * Exceptional analytical and problem-solving skills with a data-driven approach to decision-making. * Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders. Preferred Qualifications * Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS. * Experience with machine learning models for fraud detection and predictive analytics. * Familiarity with incident response protocols and risk mitigation frameworks in financial services. * Prior experience in a fast-paced startup or scaling fintech environment. Compensation Range: $100K - $175K

Job DescriptionExpert C++ engineer with strong experience designing real time, distributed, scalable services across Linux environments, including data serialization, IPC, RPCs, and enterprisegrade REST APIs with authentication. Background in financialservices systems, including computational distributed architectures, Java Messaging Services, and integration work across Python, C++, and enterprise service wrappers. Skilled in building and maintaining CI/CD pipelines using tools such as GitLab, Jenkins, Sonar, Docker, and Kubernetes, plus handson experience with dependency management and deployment workflows. Comfortable working in scrum with Jira and Confluence, bringing excellent communication skills and the ability to collaborate with quantitative, trading, and engineering teams. Knowledge of enterprise operations including monitoring, state management, and MS SQL Server, with bonus experience in Murex FLEX and electronic trading or pricing environments. Flexible work from home options available.

Job Description About Instnt Fraud is inevitable. Fraud loss isn't. At Instnt, we're not just optimizing a legacy identity solution—we're inventing a new insurance category. We are the first to seamlessly merge cutting-edge AI-powered identity fraud protection with AM Best A-rated insurance. The result? Our clients stop watching fraud eat their margins and shift the entire risk off their books with a fixed premium and a 30-day reimbursement guarantee. The product is revolutionary, but the team is the engine of disruption. Our CEO, a proven serial entrepreneur behind multiple successful companies, including a unicorn, has built a leadership bench of seasoned experts. For you, this means working alongside industry leaders and builders who know how to scale intelligently. We're at an inflection point—not merely growing, but leading the market. The Role We are looking for a senior, deeply hands-on full stack engineer and systems optimizer who can quickly get under the hood of a live production environment, assess the current architecture, and identify the highest-leverage opportunities to improve performance, scalability, and engineering efficiency. This is not a role for someone who wants clean greenfield work only. We need an experienced builder who is energized by improving systems, tackling technical debt, scaling, and troubleshooting production issues, and knows how to turn ambiguity into a clear path forward. You will be tasked with helping us audit current system, develop a clear point of view on architectural opportunities, workflow bottlenecks, and technical debt, and then work with the team to establish a thoughtful execution plan that prioritizes the most critical roadmap and platform initiatives in the right sequence. You will work closely with contractors, breaking large projects into clear workstreams, delegating specific execution where needed, while still remaining the technical owner who can jump into the code, unblock progress, and ensure the right long-term decisions are being made. This role is ideal for someone who loves going from system assessment → prioritization → hands-on optimization → long-term hardening and scale. New York City: $180,000 to $220,000 What You'll Do • Conduct a technical audit of the current platform, including frontend, backend, infrastructure, workflows, performance, and reliability risks., • Assess the existing stack and identify the highest-impact opportunities to improve scalability, reliability, latency, and developer velocity across the platform., • Create a clear and pragmatic execution roadmap, sequencing what should be tackled first, second, and third across architecture, workflows, and product-critical initiatives., • Remain deeply hands-on in coding, refactoring, and optimization work across frontend, backend, APIs, databases, and infrastructure layers., • Partner closely with product and data science to translate business, model, and customer requirements into elegant production systems., • Advise on pragmatic architectural decisions that balance startup speed with long-term scalability., • Raise the engineering bar through strong code quality, thoughtful reviews, and hands-on mentorship of engineers and contractors., • You are at your best when stepping into complex systems and quickly developing clarity on where optimization, simplification, and architectural improvements will have the greatest impact., • You have significant experience performing technical audits, architecture reviews, production debugging, and system remediation in startup or high-growth environments., • You are deeply hands-on and still love coding. You are excited to personally fix issues, improve architecture, and stabilize systems before scaling them., • You know how to direct contractors and external engineers with precision, translating broad technical problems into clearly scoped execution tasks., • You are highly fluent in Python and AWS cloud-native architectures. Familiarity with React, TypeScript, and SQL is a plus., • You have strong judgment around what needs an immediate tactical fix versus what needs a deeper architectural rebuild., • You thrive in startup ambiguity, move fast, and don't need perfect documentation to figure out how things work., • Bonus points: experience in FinTech, KYC, fraud systems, onboarding workflows, workflow tooling, or real-time SaaS platforms.

Job Description Overview Formed in 1972, Related is the most prominent privately owned real estate firm in the United States. Headquartered in New York City, the company has offices and major developments across the world. Related owns and manages a premier portfolio of assets valued at over $70 billion, including the 28-acre Hudson Yards neighborhood on Manhattan’s West Side. Related believes in investing in its talent and cultivates a positive, team-oriented environment where every voice is valued. Employees are encouraged to boldly take on new challenges, transcend the status quo, and demonstrate strong entrepreneurial spirit. In its relentless commitment to excellence, Related works to foster an innovative approach in its team members so that they can positively impact the communities in which they conduct business. Learn more about Related at . Responsibilities At Related, we are building a more modern, integrated, and decision-ready People function – one where workforce data is legible, trusted, and actively used to guide leadership decisions. We are looking for an Associate, Workforce Intelligence to join our dynamic HR Systems, Operations & Analytics team. This individual will support the development of foundational workforce analytics capabilities across the firm. The Associate will help establish core metrics, definitions, governance standards, and repeatable reporting frameworks that create consistency, trust, and scale. This position is ideal for someone who combines strong technical analytics skills with business curiosity and commercial awareness – someone who wants to understand not just what the data says, but why it matters in the context of business performance. This position will report into the Director, HR Systems, Operations & Analytics and will be based in our New York office. Responsibilities include but are not limited: • Help define and maintain standardized workforce metrics (e.g., headcount, movement, attrition, internal mobility, cost per hire, etc.), • Contribute to the development of data definitions, governance standards, and documentation to ensure clarity and alignment across HR platforms, • Design clean, repeatable datasets and scalable workflows that reduce manual effort and increase reliability, • Establish strong data foundations to support workforce planning cycles, enabling future capabilities for plan vs. actual analysis, variance explanations, forward-looking risk signals and "what-if” analyses that surface business tradeoffs and downstream operational implications, • Partner closely with HR Systems, Operations, and Analytics peers and HR team members to ensure data integrity, alignment across systems, and clear definitions, • Support the Director, HR Systems, Operations & Analytics in framing questions, testing hypotheses, and translating analysis into clear decision options for key stakeholders, • Extract, shape, and analyze data using SQL, BI tooling, advanced Excel, and/or modern analytics approaches, • Present findings clearly and concisely to stakeholders, adapting depth based on audience The anticipated base salary range for this position is listed below. In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives and a comprehensive benefits package. Anticipated base salary range: $100,000 - $125,000 Actual base salary within the anticipated range will be determined by several components including, but not limited to, the individual's experience, skills, qualifications, and market factors. Qualifications Required Qualifications • 5+ years of experience in workforce analytics, people analytics, BI, or a closely related analytics role, • Experience building dashboards and executive-ready reporting using tools such as Power BI, Tableau, or similar platforms, • Knowledge in SQL or an equivalent ability to extract, model, and analyze data using modern analytics, BI, and AI-enabled tools, • Proficiency with standard suite of Microsoft Office applications, especially Excel, • Strong analytical judgment and comfort working with complex, imperfect data, • Excellent written and verbal communication skills; must be able to translate analytical findings clearly to non-technical audiences, • Experience working with UKG Pro, iCIMS, Cornerstone, CultureAmp, or equivalent HR SaaS solutions, • Exposure to workforce planning, headcount modeling, or FP&A adjacent analysis, • Statistical modeling or forecasting experience (e.g., regression, attrition modeling, scenario modeling), • Python and/or R experience is a plus, but not required, • Demonstrated intellectual curiosity about how workforce decisions impact business performance, • Comfort combining traditional querying with emerging approaches (e.g., vectorization, AI-assisted analysis) to accelerate insight generation #LI-RB1 #Onsite #TRC

Job Description TL;DR Kharon is seeking a full-time Director, Technical Services based in Denver. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: • Lead and scale a high-performing Technical Services team charged with making Kharon’s data ubiquitous, defining the standards for how Kharon integrates with global financial institutions, corporates, and channel partners., • Master the intricacies of Kharon’s various product lines and data schemas, providing expert guidance to clients on data mapping, field logic, and the application of Kharon’s methodology within their specific workflows., • Act as a conductor between product, engineering, and client-facing teams to ensure alignment with complex integration requirements., • Own the end-to-end success of data feed and Enterprise API integrations, ensuring seamless delivery of Kharon’s insights into client environments., • Enable channel partner relationships, developing scalable integration playbooks that empower third-party platforms to ingest Kharon data efficiently., • Serve as the senior technical authority in high-stakes pre-sales and post-sales engagements, recommending optimized deployment methods and translating sophisticated client needs into actionable specifications., • Design and implement automated monitoring, validation, and troubleshooting frameworks to reduce time-to-live for new customers., • Synthesize global market feedback and technical friction points to inform roadmap priorities., • 5+ years of experience in technical account management, solutions engineering, or professional services, with at least 2 years in a formal people-management or team-lead capacity., • Hands-on experience with RESTful APIs, JSON, large-scale data delivery mechanisms (e.g., S3, SFTP, Snowflake sharing)., • Familiarity with how data integrates into enterprise risk, compliance, financial, or trade intelligence platforms (e.g., Fircosoft, NetReveal, Bridger, SAP, Salesforce, specialized KYC/AML screening tools)., • Demonstrated ability to manage a portfolio of complex, concurrent integration projects using Agile or similar methodologies., • Strong ability to debug complex data content and delivery issues and a track record of building internal tools or scripts (Python, SQL, etc.) and making use of artificial intelligence to support your work., • Exceptional ability to explain complex technical concepts to non-technical stakeholders, from C-level executives to internal product owners. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Director, Technical Services to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: • Fully sponsored medical, dental, and vision insurances, • FSA program for both medical and dependent care, • Long term disability, • 401k + Roth with matching and immediate vesting If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. #LI-Hybrid #LI-AG1 Powered by JazzHR YRwnq3M3iR

Job Description The AI Analyst will oversee AI product development, deployments, and compliance, ensuring that AI solutions align with strict regulatory standards and quality benchmarks. This individual will drive data-informed decision-making across the AI product lifecycle, from strategy development and governance to execution and ongoing operations. Responsibilities • Strategy & Development: Partner with product managers and data scientists to understand and inform AI product roadmaps, supporting rollout plans for new AI features and models. • Governance & Compliance: Analyze opportunities, risks, strengths, and weaknesses regarding AI regulations; derive critical issues of the future to ensure all AI deployments meet compliance and governance standards. • Quality & Validation: Assist in the implementation and validation of AI analytics tracking solutions to ensure accurate data collection, model performance measurement, and quality assurance. • Operations: Manage the operational performance of AI products, ensuring they are performing as expected and managing any incidents or performance degradation11. • Innovation: Research the competitive landscape and emerging AI trends to formulate growth strategies, create forecasts, and identify opportunities for innovation within the healthcare AI space • Analysis: Conduct thorough analysis of digital data and AI model outputs to inform sprint planning, backlog refinement, and prioritization discussions. • Collaboration: Work closely with cross-functional teams (Legal, Compliance, Data Science, Engineering) to define user stories and acceptance criteria based on data insights, business priorities, and regulatory requirements. • Communication: Provide regular updates and reports on key performance metrics, trends, and insights to stakeholders, acting as a subject matter expert on AI analytics and governance best practices Qualifications • Bachelor's Degree: Computer Science, Business, Data Science, or a related field, • Extensive knowledge of Digital Product Management and AI Development lifecycles., • Extensive knowledge of relevant market trends with the ability to identify opportunities., • Healthcare or clinical lab industry knowledge beneficial., • Awareness of change management principles., • AI certification, • Business/Digital Analysis: Strong analytical and critical thinking skills with the ability to tell a story ”what does the data tell us?". • AI & Technical: Deep technical skills regarding AI/ML deployment and validation., • Collaboration: Ability to build strong and trusted relationships and collaborate with others for optimal results., • Agile: Proficient in Agile development methodologies., • Tools: Advanced level expertise in analytical tools (e.g., Excel, Tableau, Python, SQL Preferred • Master's Degree: MBA, Data Science or a related field, • 5-7 years' experience in a similar role (can include related experience, such as product management, data analysis, or compliance) • Able to showcase previous digital product or AI improvements that you owned., • At least 3 years' experience working in an Agile framework with digital products, • Demonstrated passion for Customer Experience and acting as an advocate for customers, • Experience in coaching, mentoring, and/or training other team members on AI tools or governance., • Proven ability to sift through data, identify critical information, analyze, and make recommendations that influence successful product outcomes

Job Description Arlo is rebuilding health insurance from the ground up using AI. The healthcare experience today is expensive, confusing, and often so frustrating that people delay the care they need. We’re changing that by reimagining what a health plan should be: a proactive partner that enables health rather than denying it. Our AI-native platform delivers continuous, personalized support for members—helping them navigate benefits, schedule appointments, access high-quality care, and avoid financial fear. Powered by the industry’s most advanced risk-pricing engine, Arlo is already scaling fast: we’ve grown to $XXXM in premiums, cover tens of thousands of people, and see accelerating demand across brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, our team combines deep industry expertise (Palantir, YC) with the ambition to modernize a $1T market. About the role Arlo quotes small businesses using AI-powered underwriting that predicts individual risk to determine group rates. But accurate pricing requires more than historical data alone — at the time of quoting, additional signals like prior rates, aggregate claims history, and self-reported health information can meaningfully sharpen our view of a group's risk profile. This role sits at the center of four connected problems: learning from post-policy data to understand where our risk blindness lies, building automated quoting systems that act on softer signals, understanding how algorithmic changes ripple through to sales outcomes, and maintaining the integrity of the data pipelines that underpin all of it. What you'll work onPost-quoting intelligence * Emerging risk detection. Analyze early-period claims data to surface patterns that indicate risk was underestimated at quoting — and quantify the gap. * Blindness measurement. Build frameworks to systematically identify where the external claims database is incomplete or lagged, and estimate the magnitude of those gaps. * Rate determination. Develop calibration factors that translate soft signals — based on competitive information, econometrics and emerging events — into rate adjustments layered on top of core model output. * Feedback loop infrastructure. Create pipelines that carry post-quoting learnings back into upstream models so calibration improves continuously. Auto-quoting automation * Multi-signal fusion. Design models that ingest heterogeneous inputs and synthesize them into an enriched risk view that reduces reliance on manual review. * Confidence scoring. Build the logic that decides when a quote can be issued automatically versus routed to a human, minimizing queue volume without increasing adverse selection. * Threshold and rule design. Collaborate with underwriting to set and validate auto-issuance decision thresholds, and monitor their performance over time. Sales performance analytics * Algorithm impact attribution. When we adjust rating algorithms, tighten auto-quoting rules, or change data quality requirements, measure the downstream effect on quote volume, win rates, and sales conversion — and distinguish model-driven changes from market-driven ones. * Sales funnel diagnostics. Identify where quote kickouts, rate changes, or data submission friction are creating drop-off in the sales pipeline, and quantify the cost of each leakage point. * Data quality incentive analysis. Understand whether brokers and groups that provide richer data at submission (more complete census, aggregate claims, prior rates) achieve better pricing outcomes — and help us make that case externally. Data ingestion and pipeline integrity * Ingest delay profiling. Map the latency characteristics of our live policy data — claims, enrollment, eligibility — and identify which delays are structural versus operational, and where they introduce systematic bias into our models. * Consistency monitoring. Build checks and alerting for data inconsistencies across our ingestion layer: duplicate records, mismatched member IDs, enrollment timing gaps, and reporting lags from carriers or TPAs. * Upstream data partnerships. Work with engineering and data teams to document known data quality issues, prioritize fixes, and maintain a clear picture of what the data can and cannot reliably support at any given point. What we're looking for Required * 3–5 years in a data science or quantitative analyst role * Proficiency in Python (scikit-learn, pandas, statsmodels) and SQL * Experience building and validating predictive models end-to-end * Comfort working with messy, inconsistent real-world datasets * Experience designing or auditing data pipelines for quality and consistency * Ability to communicate model behavior and business impact clearly to non-technical stakeholders Nice to have * Background in insurance, actuarial data, or healthcare claims * Experience with GLMs, survival analysis, or credibility theory for pricing * Familiarity with group health underwriting or broker distribution models * Experience building confidence-based routing or triage systems * Exposure to sales funnel analytics or conversion attribution * Familiarity with MLflow, dbt, or similar tooling How you'll work * You'll be an individual contributor embedded with underwriting, pricing, and sales teams — with direct access to the people who use your outputs daily. * You'll own projects from data exploration through to production deployment and monitoring, without a separate ML engineering handoff layer. * Work spans Python-based modeling and SQL-driven analysis equally; both matter. * Your models directly influence pricing decisions and sales outcomes, so accuracy, explainability, and sound uncertainty quantification are all first-class concerns. * You'll work closely with engineering on data ingestion questions — this role requires comfort sitting at the boundary between data science and data engineering. Why Join Arlo: * High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. * Join an important mission: Your work directly influences how people access care and improves lives at scale. * Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. * Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. * High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.

Job DescriptionWe are looking for an experienced MES Data Architect to lead and execute complex data migration, integration, and cutover activities for Manufacturing Execution Systems (MES) implementations and upgrades. This is primarily a data-focused role but it requires deep subject-matter expertise in MES to correctly interpret, map, transform, and validate manufacturing data from legacy systems into modern MES platforms (particularly Solumina or DELMIA Apriso). The ideal candidate has led multiple MES-related data migrations or large-scale integrations (especially involving SAP), understands manufacturing operations at a detailed level, and can bridge the gap between business/process needs and technical data delivery. Key Responsibilities • Lead end-to-end data migration for MES implementations, upgrades, or consolidations (legacy MES → new MES, ERP → MES, or MES consolidation projects), • Perform detailed source-to-target data mapping for manufacturing-critical entities: BOMs, routings, work instructions, material masters, equipment, process parameters, quality specs, genealogy/traceability data, production history, as-built records, etc., • Design and execute data extraction, transformation, and load (ETL) processes specific to MES platforms, • Build and maintain complex data migration scripts, transformation rules, staging tables, and validation frameworks, • Lead data cleansing, enrichment, harmonization, and defect resolution activities in collaboration with manufacturing, quality, and engineering teams, • Perform MES integration and data synchronization design & implementation (master data, production orders, material movements, quality results, etc.), • Support cutover planning, dry runs, mock go-lives, and hypercare for data migration and integration scope, • Conduct data validation, reconciliation, and business sign-off at multiple stages (pre-load, post-load, post-go-live), • Translate manufacturing business rules and production processes into precise data transformation logic and validation criteria, • Troubleshoot complex data-related issues during migration, integration, and go-live phases, • Create and maintain high-quality migration documentation: mapping spreadsheets, transformation rules, validation scripts, cutover checklists, issue logs, • Collaborate closely with MES configuration teams, SAP functional teams, manufacturing SMEs, and quality assurance groups Must-Have Qualifications • 8+ years of hands-on experience working with Manufacturing Execution Systems (MES), • Proven deep functional and technical expertise in at least one major MES platform — strong preference for Solumina or Apriso, • Multiple end-to-end data migration experiences in MES or MES-adjacent projects (legacy MES replacement, ERP integration, multi-site consolidation, etc.), • Solid understanding of manufacturing master data and transactional data models (BOMs, routings, work centers, material lots/serial numbers, quality characteristics, production/quality results, equipment status), • Advanced proficiency in SQL, data modeling, and ETL concepts, • Demonstrated ability to understand and document complex manufacturing processes and translate them into data requirements, • Excellent analytical, problem-solving, and data reconciliation skills, • Strong collaboration and communication skills — must be able to work effectively with both technical teams and shop-floor subject matter experts Strongly Preferred • Direct configuration, implementation, or support experience with Solumina or Apriso, • Previous experience leading SAP → MES or MES → MES data migrations, • Exposure to SAP data migration tools/methodologies (Migration Cockpit, LTMC, LSMW, custom ABAP, BODS, etc.), • Experience in regulated industries (aerospace, defense, automotive, medical devices), • Familiarity with data quality tools, profiling tools, or ETL platforms (Talend, Informatica, SSIS, etc.) Nice to Have • Scripting/programming experience (Python, Java, C#, Groovy, or platform-specific scripting), • Knowledge of MES–PLM–ERP integration patterns, • Understanding of Industry 4.0 data flows and digital thread concepts, • Experience with test data management and synthetic data generation for manufacturing Why This Role? This is a high-impact position at the intersection of manufacturing operations, MES domain knowledge, and mission-critical data migration. You will play a decisive role in ensuring that production-critical data is accurately, completely, and safely transitioned — enabling successful go-lives and long-term system reliability.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineering, Data Science, and Systems Design Experts Type: Contract Compensation: $60–$100/hour Location: Remote Role Responsibilities • Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness., • Conduct fact-checking using trusted public sources and authoritative references., • Conduct accuracy testing by executing code and validating outputs using appropriate tools., • Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies., • Assess code quality, readability, algorithmic soundness, and explanation quality. Must-Have • BS, MS, or PhD in Computer Science or a closely related field., • Significant (3+ years) real-world experience in software engineering or related technical roles., • Expert in at least two relevant programming languages (e.g., Python, Java, C++, C, JavaScript, Go, Rust, Ruby, SQL, Powershell, Bash, Swift, Kotlin, R, TypeScript, HTML/CSS)., • Able to solve HackerRank or LeetCode Medium and Hard–level problems independently., • Experience contributing to well-known open-source projects, including merged pull requests., • Significant experience using LLMs while coding and understanding their strengths and failure modes., • Prior experience with RLHF, model evaluation, or data annotation work., • Track record in competitive programming., • Experience reviewing code in production environments., • Familiarity with multiple programming paradigms or ecosystems., • Upload resume, • AI interview based on your resume #hiringmercor

Job DescriptionManage the team responsible for delivery of core algorithms for a technology-enabled investment platform of an innovative wealth manager Responsibilities: • Manage day to day efforts in delivering investment algorithms and research generated data., • Recruit and mentor Quantitative Development team members., • Work closely with various stakeholders and technology resources., • Lead agile development practices and maintain Jira backlog., • Provide hands-on end-to-end development, testing, and maintenance of quantitative code base., • Perform code reviews to ensure quality meets highest level of standards., • Develop software using high quality standards and best practices, ensure thorough end-to-end unit testing, and provide support during testing and post go-live., • Collaborate with product management and technology teams to ensure appropriate requirements, standards, and integration., • Participate in building and/or defining Research Data & Quant Compute platforms., • Investigate datasets for use in new or existing algorithms. Requirements: • Knowledge of wealth management products, tools, and strategies including ETFs, Mutual Funds, Investment Funds, REITs, • Current/Recent experience leading a quantitative development team, • Proficiency in computer science, computational mathematics, or financial engineering gained by advanced (MSc or above) academic and/or equivalent work experience, • Excellent mathematical foundation and hands-on experience working in the finance industry., • Strong communication (written and oral) and analytical problem-solving skills., • Strong sense of attention to detail, pride in delivering high quality work and willingness to learn., • Proficient in Python, Git, Jira, and SQL and database development (PostgreSQL is a plus)., • Knowledge of databases and quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, Git, Jira, and SQL, • Experience delivering products using commercial optimizers (Gurobi, CPLEX) is a plus. For immediate consideration, please forward resume and contact details to: Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit Ashton Lane Group® “A trusted advisor throughout your career”

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job Description Our client—an established financial firm overseeing more than $30B in investment assets—is seeking a talented Business Systems Analyst to play a key role in their transition to Advent Geneva. This is an exciting opportunity to join a collaborative, growing team and help shape the technology that powers a leading investment organization. About the Role As a Business Systems Analyst, you will be the bridge between business needs and technical capabilities, ensuring teams across the front, middle, and back office can fully leverage Advent Geneva. You’ll work closely with stakeholders, analyze data, and support critical functions across Fund Accounting, Investor Relations, Operations, and Risk. What You’ll Do * Partner with internal teams and external vendors to understand, analyze, and document software features, platform capabilities, and workflows * Perform detailed data analysis across Fund Accounting, Investor Relations, Operations, and Risk * Develop user stories, define acceptance criteria, and review test cases in an Agile environment * Provide hands-on user support to Fund Accounting, Investor Relations, Portfolio & Credit Administration, and Risk teams * Support data governance and data modeling across multiple systems * Use SQL, Python, APIs, and related tools to support reporting and data integration * Work with the analytics team to source and structure data for business consumption * Collaborate with external consultants on system implementation activities What You Bring * 6+ years of Business Systems Analyst experience * Extensive, hands-on experience with Advent Geneva (required) * Strong understanding of financial markets, investment products, and buy-side workflows (equity research, trading, portfolio management, etc.) * Experience with Agile/Scrum methodologies * Background working with loan IBOR, portfolio management, and performance systems * Technical proficiency with Azure DevOps, JIRA, Confluence, Visio/Figma, SQL, BI tools, CRM platforms, and REST APIs

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution at the forefront of cybersecurity and risk analytics. This team operates within a highly regulated, data-driven environment focused on protecting enterprise systems and sensitive information from insider threats. The group is known for its collaborative approach across Cybersecurity, Compliance, HR, and Fraud teams, leveraging advanced analytics and modern data platforms to drive impactful risk decisions. Current initiatives include building a centralized Cybersecurity Data Lakehouse and developing next-generation human risk scoring models to enhance detection and governance capabilities. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on cutting-edge cybersecurity analytics and insider risk modeling, • Exposure to cross-functional teams including Cyber, Legal, Compliance, and Fraud, • Hands-on experience with enterprise-scale data, AI/ML tools, and modern data platforms, • Design, build, and optimize statistical and machine learning models for insider risk detection and scoring, • Develop quantitative frameworks to assess behavioral and human-centric risk across employees, vendors, and systems, • Partner with data engineers and analysts to integrate and model data within a Cybersecurity Data Lakehouse, • Translate complex datasets into actionable insights and defensible risk signals for stakeholders, • Support development of a “human risk score” to enhance insider threat detection and response, • 5+ years of experience in data science, quantitative analysis, or risk modeling (10+ years preferred for senior-level alignment), • Strong background in machine learning techniques (regression, classification, clustering, anomaly detection), • Proficiency in Python and/or R, plus strong SQL skills for large-scale data analysis, • Experience working with complex enterprise datasets and translating insights into business decisions, • Background in cybersecurity, insider risk, fraud, AML, UEBA, or threat analytics programs, • Familiarity with identity/access data, endpoint telemetry, DLP, email, or collaboration monitoring tools, • Experience with model governance, validation, and explainability in regulated environments, • Knowledge of behavioral analytics or human-centric risk modeling is highly preferred, • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders, • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field

Job Description Role & Responsibilities: • Provide technical support in creating and managing data assets, ensuring seamless integration with pricing products and business processes, • Support the design and development of end-to-end data architecture for pricing and analytics solutions, • Collaborate with Product, Underwriting, IT, and Actuarial teams to gather, analyze, and translate data requirements into actionable solutions, • Develop and maintain data pipelines, feature engineering workflows, and datasets for pricing models, • Monitor and optimize performance, scalability, and reliability of data solutions and models, • Perform data analysis and suggest steps to enhance pricing strategies, • Ensure data quality, governance, and compliance with regulatory standards, • Support deployment, validation, and monitoring of pricing models in production environments, • Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Engineering, or related field, • 4+ years of experience in data science, analytics, or pricing-related roles, • Understanding of insurance pricing, underwriting, and risk modeling, • Familiarity with insurance concepts and pricing methodologies, • Knowledge of regulatory and compliance requirements in insurance, • Strong proficiency in Python/R for data analysis and modeling, • Expertise in SQL and large-scale data processing, • Experience with machine learning techniques, • Familiarity with data engineering concepts (ETL pipelines, data lakes, warehouses), • Knowledge of big data technologies is a plus, • Experience with cloud platforms (AWS, Azure, GCP) preferred, • Exposure to data visualization tools (Power BI, Tableau, etc.), • Strong analytical thinking and problem-solving abilities, • Ability to work in cross-functional, collaborative environments, • Effective communication and stakeholder engagement skills, • Attention to detail and commitment to data accuracy and quality

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial services organization operating at the forefront of banking and technology innovation. This team sits within a large-scale enterprise technology division supporting critical systems across the Americas. The environment is fast-paced, highly collaborative, and focused on delivering secure, scalable, and high-impact solutions. Engineers here work on modernizing backend systems, enabling data-driven applications, and supporting mission-critical platforms used across the business. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to contribute to enterprise-scale systems within a leading financial institution, • Exposure to modern backend engineering, APIs, and data-driven application development, • Design, develop, and maintain scalable backend applications using Python, • Build and enhance RESTful APIs to support internal and external systems, • Integrate databases, third-party platforms, and enterprise services into applications, • Write clean, efficient, and well-documented code aligned with best practices, • Conduct unit testing, debugging, and performance optimization to ensure reliability, • Collaborate with cross-functional teams to gather requirements and deliver solutions, • 10+ years of experience in software development with strong Python expertise, • Proven experience building backend systems, APIs, and scalable applications, • Strong understanding of data structures, algorithms, and object-oriented programming, • Experience with RESTful services, database integration (SQL/NoSQL), and version control (Git), • Familiarity with cloud platforms (AWS/Azure), DevOps tools, or CI/CD pipelines is a plus, • Exposure to front-end technologies is beneficial but not required, • Strong analytical thinking, problem-solving skills, and ability to work independently or within agile teams, • Excellent communication skills and ability to collaborate across technical and business stakeholders

Job Description About Us: DV Trading is part of a global group of financial services firms utilizing their own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and across asset classes. Founded 20 years ago, and headquartered in Chicago, the DV group has grown to approximately 600 people operating throughout North America, Europe, the UAE, and Asia. DV affiliates include two broker dealers, a futures commission merchant, and a registered investment adviser. Overview: Dataflows are the backbone of every successful trading firm. Every decision — from split-second trades to risk management to navigating new markets — relies on data moving quickly, accurately, and seamlessly. DV Trading is seeking an Operations Analyst who thrives on uncovering gaps, chasing down answers, and building robust data pipelines that tie everything together. You'll partner closely with the Director of Operations to design and manage the operational systems that power trading activity firmwide. Responsibilities: • Act as the right hand to the Director of Operations, working closely with traders, developers, risk managers and Finance to ensure critical data gets to the right place in a scalable, efficient manner., • Develop deep working knowledge of the trading, clearing and settlement of all asset classes traded at the firm (commodities, equities, fixed income, FX, crypto), • Own end-to-end operational processes: SOD/EOD position reconciliation, pricing & settlements, PnL calculations and reporting, and critical intraday monitoring, • Design a system of alerts, checks, and reconciliations that preserves data integrity, communicates breaks in real time, and prevents small issues from multiplying, • Understand all methods of trade execution across the firm and architect a more efficient system for consuming fills and distributing position to traders, • Collaborate with developers to shape databases, trader tools, and position management GUIs, • Create precise processes to streamline onboarding of new traders, strategies, and products, • Perform stimulating data analysis on volumes, fees, margin financing, rebates, and Desk ROI. Connect insights to business opportunities, • Bachelor's Degree, • 5+ years of experience in an analytical or operational role within a trading environment, • Clear thinker with advanced aptitude for breaking down complex problems in a timely fashion in his/her own way, • Expertise in Excel, SQL required. Familiarity with Python, Bloomberg a plus., • Strong communication skills and ability to advance many simultaneous discussions forward, • Strong work ethic, desire to learn, and ability to remain calm and focused in a fast paced, high-pressure environment, • Independent and resourceful - willingness to take on challenges, dive in the weeds, and figure out solutions Benefits: • Discretionary bonus eligibility, • Medical, dental, and vision insurance, • HSA, FSA, and Dependent Care options, • Employer Paid Group Term Life and AD&D Insurance, • Voluntary LTD, Life & AD&D insurance, • Flexible vacation policy, • Retirement plan with employer match, • Paid parental leave, • Wellness Programs $150 - 180K base salary. This role is also eligible for a discretionary performance bonus. Final compensation will depend on experience and qualifications. DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job Description Location: New York, NY Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role. We are seeking an accomplished Innovation AI/ML Data Scientist to architect and implement advanced, data-driven solutions that improve quality, efficiency, and decision-making throughout the firm's legal services and operations. In close collaboration with attorneys, innovation leaders, and cross-functional enterprise teams, you will translate complex legal and organizational challenges into secure, scalable artificial intelligence and machine learning solutions. You will oversee the entire solution lifecycle—from experimentation and performance measurement through deployment and ongoing monitoring. Responsibilities include curating and governing datasets, establishing successful criteria for accuracy and safety, and developing production-ready models and applications, including both large language model (LLM)-based and traditional machine learning approaches. Reporting to the Director of Innovation Engineering, you will play a pivotal role in advancing and expanding the firm’s data science initiatives—streamlining routine processes, producing actionable insights, and enabling new capabilities that enhance client outcomes and organizational efficacy. The firm maintains rigorous standards for performance and cultivates a growth-oriented culture. Individuals who demonstrate initiative and commitment will have opportunities for expanded responsibilities and long-term career growth within the organization. Must be a U.S. Citizen or Green Card holder – We cannot accept work visas or sponsorship at this time Desired Qualifications and Experience: · Bachelor’s degree in computer science, statistics, mathematics, engineering, or a related quantitative discipline required; preference given to candidates with advanced degrees. · Minimum of seven years delivering AI/ML solutions within professional services, financial, legal, or technical sectors, featuring significant cross-functional collaboration among legal and business stakeholders. · Proficient in Python for data analysis, statistical modeling, and AI/ML prototyping (including pandas, PyTorch, TensorFlow); skilled in advanced SQL; experienced in constructing data pipelines and preparing both structured and unstructured datasets. · AI & LLM Application Knowledge: Practical experience with AI platforms and tools, such as OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, and LangChain; strong understanding of vector databases, retrieval methods for unstructured data, and knowledge graph–based applications. · Demonstrated ability to design and implement evaluation frameworks for enterprise AI solutions, including monitoring accuracy, robustness, hallucinations, bias, and fairness. · Experienced with data visualization tools including Plotly, Tableau, and Microsoft Power BI; capable of translating complex findings into actionable insights. · Familiarity with legal use cases such as due diligence, contract review, and legal research; prior experience in a law firm or Microsoft Azure environment is preferred. · Proven track record mentoring colleagues, collaborating across multidisciplinary teams, and promoting widespread adoption of AI solutions. Summary of Responsibilities: · Translate Legal Workflows into AI Solutions – Facilitate discovery sessions with attorneys and practice stakeholders to systematically map end-to-end legal processes into actionable data and LLM requirements, along with measurable success criteria and evaluation plans aligned with business objectives. · Design and Prototype Intelligent Applications – Architect and assess AI/ML solutions, including retrieval-augmented generation (RAG) pipelines, vector database integrations, and orchestration frameworks, to determine feasibility, optimize performance, and ensure scalability. · Deliver High-Impact Legal Use Cases – Develop robust solutions addressing contract analysis, due diligence review, document summarization, large-scale agreement comparisons, and other practice-driven requirements. · Establish Evaluation & Governance Frameworks – Define and implement rigorous production-ready evaluation standards, focusing on accuracy, robustness, bias and fairness, hallucination mitigation, and business-aligned performance benchmarks, with ongoing monitoring protocols. · Develop Reusable Assets & Libraries – Create comprehensive internal libraries, documentation, and standardized development practices to promote efficient and scalable delivery of AI solutions. · Collaborate Across Technical & Legal Teams – Engage closely with embedded data science teams and business stakeholders to align priorities, co-create solutions, and drive successful adoption across practice groups. · Communicate Insights with Clarity – Present evaluation results, trade-offs, risks, and projected outcomes in clear, accessible terms for non-technical stakeholders, including attorneys and business leaders. · Advance Innovation Strategy – Assess emerging technologies, open-source tools, and vendor platforms to inform technology strategy, contribute to internal thought leadership, and support firmwide AI enablement initiatives. · Mentor & Enable Growth – Guide and mentor data scientists and engineers, encourage knowledge sharing, and strengthen the organization's AI capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) As an Clinical Outcomes Analyst at Maven, you will: • Help design rigorous retrospective and prospective analysis plans to evaluate Maven's impact on health outcomes and ROI, • Quantitatively analyze data for projects assessing Maven's influence on health outcomes, healthcare experience, and ROI using statistical analysis software, • Extract insights on a diverse set of clinical and operational outcomes on our internal data platform in Looker / SQL, • Participate in retrospective evaluations of Maven's impact for existing clients, including analysis of healthcare claims and self-reported platform data, study design, and communication of results in Powerpoint and / or Word, • Collaborate with the Product team on analyses to inform clinical programming and product design, • Perform market research to help Maven build internal analytics capabilities or evaluate potential partnerships, • A bachelor's degree with 2-3 years of healthcare‑industry or consulting experience or a master's or PhD in a relevant field, • Experience working with and manipulating healthcare claims (medical & Rx) to answer complex questions about outcomes and utilization patterns, • Comfort with rapid, accurate data exploration, in SQL / Looker., • Strong ability to use and curiosity regarding AI and how it can be used to make our work faster and Maven's product better for our members, • A profile that balances technical abilities to answer questions through data manipulation and strong written and verbal communication skills, including "translation" with team members and clients of varying technical abilities, • A sense of flexibility and prioritization in juggling both long-term, strategic projects and ad hoc, urgent requests as needed in a fast-paced startup environment, • Solid SQL or Python for large‑scale data analysis, with a bonus of R for heavier statistics, • Data‑visualization tools (Looker a plus), • Experience in client-facing or external stakeholder-facing roles, • Comfort with presenting results in an external facing setting (e.g., client meetings, scientific forums, etc.), • Financial modeling and/or applied statistics, • Familiarity with industry financial models (e.g., PMPM, risk adjustment, HEDIS/Stars), • Familiarity with value‑based‑care payment models (bundles, shared savings) This role requires active work authorization in the US. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants 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. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionSummary We are seeking a Mid-Level Software Developer who is fluent in modern technology stacks and capable of translating business and technical requirements into high-quality, scalable software solutions. This is a solo developer position, ideal for a proactive problem-solver who can thrive independently and take full ownership of the development lifecycle. A primary focus of this role will be leading the end-to-end rebuild of one of the company’s main applications, requiring the candidate to architect and deliver a modernized solution from concept through deployment. The ideal candidate possesses strong technical fundamentals, experience with contemporary development tools, and the self-motivation to drive major projects forward while staying current with evolving industry best practices. This position is a full-time, onsite role in Lyndhurst, New Jersey.Responsibilities • Analyze and interpret functional requirements, transforming them into clear technical specifications and actionable development tasks., • Design, develop, test, and maintain full-stack applications using modern frameworks and best practices., • Build and integrate RESTful APIs, backend services, and/or front-end components as required by project scope., • Write clean, maintainable, well-documented code and contribute to continuous improvement of team standards., • Participate in architectural discussions and help guide technology decisions based on current industry trends., • Debug and resolve software defects, performance issues, and integration challenges., • Collaborate in an Agile environment, contributing to sprint planning, estimation, and code reviews., • Support deployment workflows, CI/CD pipelines, automated testing, and version control processes., • Communicate progress effectively and provide realistic estimates for tasks and project milestones.Required Skills & Qualifications, • 2–5 years of professional software development experience., • Proficiency in one or more modern languages such as C#, Java, Python, JavaScript/TypeScript, or C++., • Experience with contemporary frameworks such as .NET, Spring Boot, Node.js, React, Angular, or similar., • Strong grasp of REST API design, microservices concepts, and application architecture fundamentals., • Familiarity with relational databases (MySQL, PostgreSQL,Oracle) and writing efficient SQL queries., • Working knowledge of Git, Agile methodologies, and standard software engineering practices., • Ability to break down requirements, ask clarifying questions, and deliver high-quality implementations with minimal oversight. Powered by JazzHR LSmBelouoF

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. We believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are hiring for a Technical Services Engineer Target total compensation ranges from $90,000 - $136,000, including a fixed annual salary of $85,000 - $125,000 ), an employee equity plan grant, and world-class benefits. About the role: As a Technical Services Engineer, you will work closely with mParticle by Rokt's Customer Success, Engineering and Professional Services teams in providing world-class service to our customers. You will also support mParticle’s customers’ developer teams as they implement mParticle’s Android, Apple (Apple TV and iOS), and JavaScript SDKs, and work with our platform's various APIs. You will also support various components of the mParticle platform such as Audiences, IDSync, Profile API, and others. This will be a hands-on technical role that will give you the opportunity to interact with some of the best minds and technology stacks in the mobile and web app business. You will become an expert in all things mParticle, from our mobile SDKs to our partner integrations. Your work will be meaningful and will have a strong impact on mParticle and our clients’ success. Responsibilities: • Collaborate with mParticle Customer Success and Professional Services teams to support our customers via multiple channels as they work with mParticle Platform, its related APIs, SDKs and interfaces., • Maintain customer satisfaction by ensuring tickets (issues, queries, etc.) are resolved in a timely, accurate and effective manner, escalating them when necessary., • Communicate customer feedback on our product to the appropriate internal teams to improve user experience, add new features to enhance the product, etc., • Assist with new product feature testing., • Thrive in a fast-paced environment, managing multiple priorities and tasks simultaneously., • Efficiently handle escalations and ensure critical issues are resolved promptly., • Build internal tooling, SOPs and KBs for the mParticle customer-facing teams. About You: • Bachelor's degree in computer science/engineering or a related technical discipline (e.g., technical boot camp), or equivalent 3-5 years of experience developing, implementing or supporting software solutions for businesses in current or past technical roles, • Strong problem-solving skills and the ability to handle complex, multi-faceted issues in a collaborative environment., • A customer service mindset with a focus on delivering exceptional support and ability to prioritize work effectively, deal with escalations and work in a fast-paced environment., • Knowledge of at least two of the following programming languages: JavaScript, Kotlin, Swift, Java, Objective C, C#, Python., • Experience with mobile and web SDKs, RESTful APIs or other integration technologies., • Familiarity with SQL and data warehouses is a plus. About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $153,000 - $179,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionSalary: Senior Elixir Engineer at Vic.ai Remote Location: Remote This is a fully remote position, full-time, with flexible working hours and work arrangements. About Vic.ai Vic.aiis creating the Intelligent Accounting era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually businessforesight. Were a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). Were US-based, but our team is global, from New Zealand to California. Were bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market ishuge: $200B just in the US. Our main office locations is in New York. We have a well established remote-work culture, and over 50% of our team are working fully remote. We have a solid team of very experienced, yet humble, Elixir engineers, will you be our next team member? About you Youve been a software engineer for 5+ years, but youve been a tinkerer and a builder your whole life. Were a team of builderswhen we arent building Vic.ai, were tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc. Were looking for an experienced developer who enjoys working with server-side technologies. You possess a good mixture of DevOps and application development skills and would like to build innovative solutions with experienced teammates in a flexible environment. You should have plenty of experience in building performant, easy to use, well-monitored, and well tested APIs, designing efficient data flows, communicating clearly, sharing knowledge, and questioning existing solutions. Youre ready for the next step in your career, ready to take on fast-moving challenges. Youre enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work. As a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue. You are fluent in English. Job Requirements • Advanced Elixir programming experience is a must, • Solid understanding of working in Linux shells, • Ability to spin up servers, setting them up and make them available for application deploys, • Having great understanding of the value of automated tests, and ability to implement them across the whole stack, • Designing efficient deploy flows and continuous integration, • Solid knowledge of key-value stores, SQL, and relational databases; preferably PostgreSQL, • Ability to implement and maintain robust concurrent background job systems, having a grasp of concurrency patterns and message queues, • Fluent English, spoken and written, clear and effective daily communication with the team What youll do • Build and deploy high-uptime products and infrastructure as part of the Vic.ai platform, • Integrate Elixir systems with non-uptime-critical systems in Python, • Design and establish validation, testing, correctness, and resilience best practices across teams, • Ship products and services as part of a small, collaborative team, • Help establish engineering process, tools, and systems that will allow us to scale the code base, productivity, and the team Who we're looking for: • BS (or higher) in Computer Science or a related technical field, or equivalent technical experience, • 5+ years of relevant work experience, • Professional experience with Elixir programming language, • Track record of shipping high-quality products and features, • Ability to turn business needs into engineering solutions As an early employee, you'll be working with a small team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We Offer We're not just fully remote, we also offer Competitive salary Generous vacation time, family and travel-friendly environment Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment Above all, you should enjoy the journey. Our engineers are creative, technical, smart, and genuinely like each other. They enjoy the work they do, and so should you!

Job Description About us LifeMD is a leading digital healthcare company committed to expanding access to virtual care, pharmacy services, and diagnostics by making them more affordable and convenient for all. Focused on both treatment and prevention, our unique care model is designed to optimize the patient experience and improve outcomes across more than 200 health concerns. To support our expanding patient base, LifeMD leverages a vertically-integrated, proprietary digital care platform, a 50-state affiliated medical group, a 22,500-square-foot affiliated pharmacy, and a U.S.-based patient care center. Our company — with offices in New York City; Greenville, SC; and Huntington Beach, CA — is powered by a dynamic team of passionate professionals. From clinicians and technologists to creatives and analysts, we're united by a shared mission to revolutionize healthcare. Employees enjoy a collaborative and inclusive work environment, hybrid work culture, and numerous opportunities for growth. Want your work to matter? Join us in building a future of accessible, innovative, and compassionate care. About the role LifeMD is looking for a VP of Data & Analytics to own our data platform end to end and lead the analytics engineering team that powers decisions across finance, marketing, and operations. This is a senior technical leadership role for someone who is equally comfortable shaping a dbt architecture, partnering with our Chief Accounting Officer on revenue recognition, and presenting insights to the executive team. You will sit at the intersection of engineering precision and business strategy. The data our team produces feeds earnings support, board materials, financial forecasts, and operational dashboards — accuracy and reliability are non-negotiable. At the same time, you will drive how we use AI to surface insights faster and build internal tooling that amplifies the team’s output. What You Will Own Data Platform You will own the full analytics stack: Fivetran and custom Python ingestions, dbt for transformation, BigQuery as the warehouse, and Hex and Posit Connect for reporting and analytics applications. The stack runs on GCP. You are accountable for its reliability, cost, governance, and evolution. Responsible for ensuring data quality, lineage, and standardization throughout the data ecosystem, while collaborating with Finance, IT, and Security teams on the overall governance and control framework. Team Leadership You will manage a small team of analytics engineers and analysts organized by business function across finance, marketing, and operations. The work is analytics-engineering-forward — producing data that many downstream stakeholders depend on. You will hire, develop, and shape the team as the function matures. Revenue Recognition LifeMD operates across subscription, insurance, and direct-pay billing systems. A senior analytics engineer manages the day-to-day process; you are accountable for its accuracy, auditability, and architecture. You will partner closely with the Chief Accounting Officer and represent the data function directly to external auditors. Financial Modeling & FP&A Support You will contribute directly to financial modeling — cohort-based subscription forecasting, LTV, and budget vs. actual analysis. You will ensure FP&A always has clean, timely, trusted data to build on, and serve as a technical partner to the finance function. AI Analytics Platform You will maintain our in-house AI analytics platform as a production service, develop new functionality using AI-driven tools, and actively find new ways to surface insights with AI as part of the analytical toolkit. Engineering Partnership You will work closely with our engineering teams to inform data architecture decisions that align with analytics and reporting objectives. Executive Partnership You will work directly with the executive team to produce the data that supports strategy — KPI dashboards, board materials, earnings support, and ad-hoc analysis — and to make recommendations based on it. Requirements SQL & dbt Architecture. You write and review SQL at a senior level and have built or materially evolved a data platform on dbt and a cloud warehouse. You make architectural decisions about modeling, incrementality, testing, and governance. GCP Experience. You have worked on GCP in production, including BigQuery and surrounding services such as GCS, Cloud Run, and Cloud Scheduler. Finance & Revenue Recognition. You have owned or partnered closely on revenue recognition at a public company, and have contributed to financial modeling such as cohort forecasting, LTV, and unit economics. You can architect auditable data models and represent the data function credibly to accounting, auditors, and finance leadership. Python Fluency. You are comfortable in Python and can read and modify production code. You can maintain and extend data systems beyond the warehouse, including API integrations, scheduled jobs, and cloud infrastructure. AI Fluency. You have built internal tooling that uses LLMs. You use Claude Code, Cursor, or another AI-driven IDE for development and actively shape how AI gets woven into your team’s workflows. Data Engineering Leadership. You have managed small data or analytics engineering teams where the work sits closer to engineering than to BI, and where reliability matters because many stakeholders depend on the output. You hire, develop, and retain technical talent and coach individual contributors. Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (Roth 401k), • Life Insurance (Basic, Voluntary & AD&D), • Flexible PTO Policy, • Paid Holidays, • Short Term Disability, • Training & Development