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Manages end-to-end delivery of central funding applications for a global asset management firm, coordinating with traders, risk teams, and developers while leveraging cloud, AI, and Agile practices.
A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving…
Builds and maintains back-office trading systems, fund accounting, and trade reconciliation software using .NET, SQL, and cloud technologies for a global investment firm.
Builds and enhances fund accounting and trade processing back-office software at Point72's Cubist Systematic Strategies, using Python/Java/.NET, SQL and messaging/streaming architectures, integrating internal and vendor services, and helping migrate applications to the cloud with agile and DevOps practices.
Builds NLP and GenAI solutions (LLMs, RAG, agents) to extract trading signals from text data for a quant fund.
Designs and enforces security controls for generative AI systems, including guardrails, threat modeling, and incident response, using Python/Go/Java and Kubernetes in a finance-focused tech environment.
Designs and maintains high-performance backend systems and data pipelines for AI-driven investment workflows, integrating generative AI and LLM solutions in a financial firm.
Build and scale a research-to-trading platform in C++ and Python, partnering with quants to prototype, test, and deploy trading strategies while optimizing performance and reliability.
Business analyst role managing onboarding of systematic trading teams, coordinating with tech/ops/legal and brokers to deploy new strategies using Python/SQL.
Builds and maintains data pipelines and features for systematic trading models in equities, futures, and options using Python and SQL.
Senior Data Scientist builds and maintains data pipelines and derived datasets to power predictive models for a systematic trading firm.
Builds and optimizes data pipelines and tools to support statistical arbitrage trading strategies in equities, futures, and FX markets using Python, SQL, and Linux.
Build and maintain big-data pipelines and cloud infrastructure to process compliance-approved alternative datasets for investment research using Python, Spark, and distributed systems.
Build and maintain big-data pipelines and cloud infrastructure to transform compliance-approved datasets into insights for investment research using Python, Spark, and distributed systems.
Data Scientist on a proprietary research team mining alternative data with ML and statistical models to generate investment insights for portfolio managers.
Build quantitative models and AI-driven tools to analyze market flow and positioning data for investment teams.
JOB TITLE IT Operations Engineer, Application Support A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure,…
Designs and leads enterprise-grade AI/ML systems, including GenAI services, while mentoring engineers and ensuring scalable, reliable, and compliant solutions for a global investment firm.
Research and develop ML models for financial markets, applying predictive modeling, NLP, and time-series analysis using Python/R/Matlab.
Build and research statistical arbitrage trading strategies using Python/C++ in a Linux environment, expanding into new markets and asset classes.
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