--- title: 'AI Data Scientist at Schonfeld' canonical: 'https://feeny.ai/job/ai-data-scientist-schonfeld-new-york-bjfay12yf8hk' type: 'job' last_seen: '2026-10-17' --- # AI Data Scientist at Schonfeld - **Company:** Schonfeld - **Location:** New York, NY - **Posted:** 2026-02-05 - **Last confirmed live:** 2026-10-17 - **Apply:** https://job-boards.greenhouse.io/schonfeld/jobs/7589451 ## Job description ## About the Role Schonfeld Strategic Advisors is seeking an AI Data Scientist to help build the data and analytics foundation powering our growing agentic AI capabilities for investment research. This is a hands-on role that sits at the intersection of AI, data science and data engineering: you will build the pipelines and datasets that feed our internal AI platform, dig into the data itself to analyze it and engineer features, and help shape how it is used for modeling and research. We're looking for someone equally comfortable designing robust data solutions and exploring data to uncover insights, and who is passionate about applying these skills to complex data problems alongside our investment teams. ## Key Responsibilities Data Pipeline Development - Design and build scalable, reliable data pipelines to ingest, transform, and deliver structured and unstructured data. - Implement real-time and batch data processing workflows to meet varying latency requirements. - Ensure data quality, consistency, and integrity across all pipelines. Data Analysis - Explore, clean, and analyze new and existing datasets to build a deep understanding of their structure, quality, and potential applications. - Engineer features and curate research-ready datasets for training, fine-tuning, and model evaluation. - Conduct exploratory analysis to assess data coverage, surface insights, and validate suitability for research and AI use cases. AI Data Infrastructure - Build and maintain data infrastructure for AI/ML workloads, including vector databases and semantic search systems. - Design data schemas and storage solutions that support efficient retrieval and processing for LLM applications. - Contribute to data versioning, lineage tracking, and observability for AI training and inference pipelines. Integration & Collaboration - Partner with cross-functional teams, including AI engineers, researchers, and business stakeholders, to understand data needs and design solutions. - Collaborate with infrastructure teams on cloud architecture, security, and compliance requirements. Required Qualifications Technical Skills - Programming: Strong proficiency in Python and SQL (experience with an additional language such as Java, Scala, or Go is a plus) - Pipeline Development: Building and orchestrating production data pipelines and ETL/ELT workflows (e.g., Apache Airflow, Prefect, Dagster) - Data Modeling & Storage: Designing schemas and working with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch) - Data Analysis & Modeling: Analyzing data and developing models using statistical and machine learning tools such as XGBoost, PyTorch, and TensorFlow; performing feature engineering, model training, and evaluation. - Cloud Platforms: Working with a major cloud provider (AWS, GCP, or Azure) and core storage and compute services - AI/ML Data: Preparing and serving data for ML/AI systems, including vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding pipelines ## Preferred Experience - Financial domain knowledge — e.g., quantitative research or data science experience at a buy-side or sell-side firm - Experience supporting LLM applications or RAG (Retrieval Augmented Generation) systems - Familiarity with distributed computing frameworks (Spark, Flink) or large-scale data platforms - Familiarity with financial data sources (market data, fundamental data, alternative data) - Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub) - Experience with data quality frameworks (Great Expectations, Deequ) Professional Skills - Bachelor's, Master's, or PhD in Computer Science, Data Science, or a related field - Strong problem-solving skills and attention to detail - Excellent communication skills with ability to translate technical concepts for non-technical stakeholders - Experience working in fast-paced, collaborative environments - Self-motivated with ability to manage multiple priorities ## Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between $225k and $275k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience. ## #LI-PW1 ## __PRESENT ## About Schonfeld ## Company Overview - **One-liner**: Schonfeld Strategic Advisors is a global multi-strategy, multi-manager hedge fund that invests across quantitative, fundamental equity, tactical trading, and discretionary macro & fixed income strategies. - **Entity Type**: Private (multi-strategy hedge fund, registered investment advisor since 2016) - **Headquarters**: New York, New York, United States - **Founded**: 1988 - **Founders**: Steven Schonfeld ## Core Business - **Primary industry/industries**: Financial Services / Investment Management / Hedge Funds - **Target customers**: Institutional investors (pension funds, endowments, sovereign wealth funds, family offices) - **Mission or purpose statement**: To deliver industry-leading risk-adjusted returns in all market environments and cycles, while fostering a culture where the brightest minds are empowered to learn, innovate, and lead with purpose. ## Products & Services - **Multi-Manager Platform**: A structure housing over 140 portfolio manager teams across four core strategies, providing capital, technology, risk management, and operational support. - **Quantitative Strategies**: Systematic and data-driven trading across global markets. - **Fundamental Equity**: Long/short equity investing based on deep fundamental research. - **Tactical Trading**: Discretionary and event-driven trading strategies. - **Discretionary Macro & Fixed Income**: Global macro and fixed income investing, launched in 2022. - **Delta One & Emerging Markets**: Launched in 2023 to further diversify the firm's investment footprint. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private firm) - **Key Metric**: $22 billion+ in Assets Under Management (AUM) as of July 1, 2026 - **Notable Investors/Partners**: Institutional clients including pension funds and endowments. CEO Ryan Tolkin was appointed to the board of DUMAC, which manages Duke University’s endowment, in 2024. - **Growth Signals**: - Evolved from a US-centric family office to a global firm with offices in New York, London, Hong Kong, Singapore, São Paulo, and Miami. - Over 1,100 employees. - Over 140 portfolio manager teams. - Active job postings increased by +35.7% monthly and +7.5% quarterly (as of recent LinkedIn data). - Strategic expansion into Discretionary Macro, Fixed Income, Delta One, and Emerging Markets since 2022. ## Competitive Advantages - **Deep Quantitative Roots**: Founded in 1988 as a proprietary trading firm with pioneering statistical trading strategies, some of which are still in use today. - **Entrepreneurial Platform**: The multi-manager model attracts top-tier portfolio managers by providing significant capital, advanced technology, and rigorous risk management, allowing them to operate with autonomy. - **Global Infrastructure**: A presence across five continents enables the firm to capitalize on inefficiencies and opportunities in markets worldwide. - **Long-Term Track Record**: Over 35 years of operating history and evolution from a family office to an institutional-scale investment firm. ## Strategic Focus - **Diversification**: Continuing to expand into new investment strategies (Macro, Fixed Income, Delta One, Emerging Markets) to reduce concentration and capture new alpha sources. - **Talent Acquisition**: Aggressively hiring experienced professionals and early-career talent across technology, quantitative research, risk, and investment roles to fuel growth. - **International Expansion**: Deepening its footprint in existing global hubs (São Paulo, Singapore, Hong Kong, London, Miami) and exploring new markets. - **Technology & Data**: Investing heavily in data engineering, AI, risk technology, and systematic platforms to maintain a competitive edge. ## Why Work Here - **Culture**: Described as entrepreneurial, collaborative, and intellectually rigorous. The firm emphasizes that the best ideas rise to the top and that talent is its core strategy. - **Impact**: Employees work alongside some of the brightest minds in the industry and are given the platform and support to turn ambitious ideas into lasting results. - **Career Development**: Offers structured programs for students and early career professionals (internships, mentorship) and significant growth opportunities for experienced hires. - **Work Model**: Hybrid/Office-based. Offices are located in major financial hubs (New York, London, Hong Kong, Singapore, São Paulo, Miami). - **Notable Perks**: The firm’s philosophy is "We’ll Invest in You," indicating a strong commitment to employee growth, learning, and providing the resources needed to succeed. Employee-led community groups foster inclusion and purpose. ## Sources 1. [schonfeld.com](https://www.schonfeld.com/) 2. [schonfeld.com/careers](https://www.schonfeld.com/careers/) 3. [schonfeld.com/leadership](https://www.schonfeld.com/our-firm/leadership/) 4. [linkedin.com/company/schonfeld-group](https://www.linkedin.com/company/schonfeld-group) ## Other roles at Schonfeld - [Head of AI Platform](https://feeny.ai/job/head-of-ai-platform-schonfeld-new-york-f1mfjfz14zb2) — New York, NY - [Senior Front Office Support Engineer](https://feeny.ai/job/senior-front-office-support-engineer-schonfeld-london-bkq7q0dmqnnb) — London, United Kingdom - [Software Engineer](https://feeny.ai/job/software-engineer-schonfeld-new-york-ejrs53p21p5h) — New York, NY - [Director, Wealth Solutions](https://feeny.ai/job/director-wealth-solutions-schonfeld-new-york-ye8q4e2vvs7x) — New York, NY - [Corporate Access Associate](https://feeny.ai/job/corporate-access-associate-schonfeld-new-york-d9r3zh2f04k4) — New York, NY - [2027 DMFI COO Intern](https://feeny.ai/job/2027-dmfi-coo-intern-schonfeld-london-at6500p5xctz) — London, United Kingdom - [Talent Acquisition, Associate](https://feeny.ai/job/talent-acquisition-associate-schonfeld-london-k95ks5760p3x) — London, United Kingdom - [Workplace Experience Manager](https://feeny.ai/job/workplace-experience-manager-schonfeld-new-york-7ny3wtz1jz5v) — New York, NY - [Senior Business Analyst](https://feeny.ai/job/senior-business-analyst-schonfeld-new-york-dterzye9h89e) — New York, NY - [Quant Strategist / Researcher - FX Volatility](https://feeny.ai/job/quant-strategist-researcher-fx-volatility-schonfeld-london-xp4xtpdrnngk) — London, United Kingdom