Senior Python Developer, Liquidity Risk Analytics
Overview
You will own liquidity risk analytics for a top-tier bank, building Python models that process millions of transactions daily. You join a 12-person quant team embedded in the risk division, collaborating with traders and risk managers. This contract role offers long-term potential and sits onsite in New York, with direct impact on regulatory reporting.
What You'll Do8
- 1Build Python models for liquidity coverage ratio and net stable funding ratio calculations
- 2Debug production risk systems to resolve data mismatches before regulatory deadlines
- 3Design ETL workflows to ingest and transform trade data from multiple source systems
- 4Lead the migration of legacy SQL stored procedures to Python-based pipelines
- 5Analyze market risk factors to adjust liquidity stress scenarios in real-time
- 6Ship unit tests and code reviews to ensure model accuracy and compliance
- 7Collaborate with quants to validate model outputs against historical data
- 8Document model logic and data flows for audit and regulatory review
Requirements8
- 15+ years developing production-grade Python applications in financial services
- 23+ years experience in liquidity risk or risk analytics within banking
- 3Hands-on with SQL and NoSQL databases like MongoDB or Cassandra
- 4Proven ability to debug complex distributed systems and data pipelines
- 5Familiarity with AWS services for data processing and deployment
- 6Strong understanding of financial products: derivatives, bonds, and repos
- 7Bachelor's degree in Computer Science, Finance, or related field
- 8Experience with Airflow or similar orchestration tools is a plus
Salary Insight
$57 - $60k per year
Similar open positions
Explore active roles that match your skills and interests.
Alltech Consulting Services, Inc.
VerifiedSenior Python Developer, Liquidity & Risk Analytics
You will own liquidity risk analytics for a global banking client, building tools that model cash flows and stress scenarios at enterprise scale. You join a cross-functional team of quants, risk managers, and engineers in New York, working onsite four days a week. You will design and implement Python-based solutions that replace legacy spreadsheets and manual reporting. This role stands out because you will work directly with risk stakeholders to shape daily decision-making.
ApTask
VerifiedSenior Python Developer, Liquidity & Risk Analytics
Own the design and delivery of Python-based liquidity and risk analytics systems at a top-tier financial firm. You will build scalable solutions that directly shape daily risk decisions, working within a team of quantitative developers and risk analysts. 4+ years of hands-on experience with Python, PySpark, and Pandas is essential, paired with a deep understanding of liquidity stress testing and regulatory reporting. This contract role is based on-site in New York (4 days per week) and demands a strong academic background from a top 40 college in the US or India.
Parkar Consulting Group, LLC
VerifiedSr Python Developer Trading Risk Platforms NYC
Own the design and delivery of Python-based backend services for trading and risk platforms at a global investment bank. You will build data processing pipelines that feed risk calculations, trade workflows, and reporting. Work alongside quant analysts and trading desk technologists in a hybrid New York City office. This role focuses on mission-critical systems where reliability and performance matter daily.
Brains Workgroup, Inc.
VerifiedPython Rapid Application Developer
You'll build Python applications for a major NYC bank, owning features end-to-end in an agile squad. You'll collaborate with traders and quants to automate workflows and data pipelines. This 6-month contract offers exposure to Postgres and GitLab in a fast-paced trading environment. Your work directly impacts daily trading decisions.
Prohires
VerifiedSenior Data Integration Engineer - Credit Risk
You own end-to-end delivery of stable, resilient, observable data pipelines for Counterparty Credit Risk (CCR) platforms. Build and scale ingestion and transformation flows handling counterparty, trade, and collateral data. Collaborate with risk quants and tech leads to harden data reliability. This role demands in-person collaboration in New York City and full accountability from design to production.
16 MS & Co., LLC
VerifiedQuantitative Desk Strategist - Fixed Income - Associate
Lead quantitative modeling and analytics for complex fixed income products while building real-time risk systems that support daily trading decisions. Own the translation of market risk and derivative pricing needs into practical models and scalable system designs. Collaborate closely with traders and strategists to solve practical trading problems and drive clear communication across technical and non-technical audiences.