Quantitative Strategist, Macro Technology

A CAREER WITH POINT72S TECHNOLOGY TEAM
As Point72 reimagines the future of investing our Technology team is constantly evolving our firms IT infrastructure and engineering capabilities positioning us at the forefront of a rapidly evolving technology landscape. Were a team of experts who experiment and work to discover new ways to harness open-source solutions modern cloud architectures and sophisticated Artificial Intelligence (AI) solutions while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72s Technology team we encourage and support your professional development from day onehelping you advance your technical skills contribute innovative ideas and satisfy your own intellectual curiosityall while delivering real business impact for our multi-billion-dollar global business.

WHAT YOULL DO
Design and develop pre-trade pricing and analytics tools for investment professionals supporting Rates and FX products.
Implement real-time pricing engines and historical pricing frameworks using market and trading data.
Develop analytics for historical curve construction curve evolution and relative value analysis.
Design generate and maintain large-scale derived macro datasets for trading analytics ensuring consistency performance and reusability across workflows.
Build scenario analysis frameworks allowing investment professionals to define shocks and assess pricing and PnL impacts.
Integrate pricing scenario and backtesting analytics into research and trading workflows.
Develop scalable data pipelines for historical market data ingestion normalization storage and retrieval.
Collaborate with investment professionals to translate trading ideas into quantitative analytics and tooling.
Contribute to the firms core analytics libraries and data architecture with a focus on robustness performance and extensibility across asset classes.

WHATS REQUIRED
Post-graduate degree in a quantitative discipline from a top-tier university.
12-15 years of experience in macro quantitative analytics and development at a top-tier bank or fund.
Strong expertise in linear Rates and FX products including curve construction pricing and relative value.
Proven experience building pre-trade analytics trading pricing tools and research platforms.
Strong understanding of backtesting frameworks historical analysis and scenario-based research.
Advanced programming skills in Python and C.
Solid data engineering and analytics proficiency including experience with large financial datasets and time-series data.
Proven experience building and persisting derived data at scale including data modeling storage and access patterns for quantitative research and production analytics.
Hands-on experience with cloud-based data and analytics platforms such as AWS GCP and/or Azure.
Experience designing and maintaining production-quality data pipelines and analytics services.
Strong communication skills and a demonstrated ability to work closely with investment professionals.
Commitment to the highest ethical standards.