Senior Python Developer, Liquidity & Risk Analytics
Overview
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.
What You'll Do8
- 1Design and implement Python modules for liquidity gap analysis, cash flow forecasting, and stress testing.
- 2Build PySpark pipelines to process large volumes of transaction data for risk metrics.
- 3Develop Pandas-based data models to support ad-hoc regulatory requests and scenario analysis.
- 4Optimize existing risk analytics code to reduce run time by 30% within the first quarter.
- 5Collaborate with quantitative analysts to translate risk methodologies into production-grade code.
- 6Debug and resolve issues in live risk reporting systems, ensuring accuracy and timeliness.
- 7Document code and design decisions for maintainability and audit compliance.
- 8Drive the migration of legacy risk calculation scripts to a unified Django web application.
Requirements7
- 15-10 years of experience in liquidity analysis within banking or financial services.
- 24-6 years of hands-on software development with Python, PySpark, Pandas, and Django.
- 3Strong academic background from a top 40 college (India/US) with a computer science degree.
- 4Deep knowledge of Python libraries and frameworks for data processing and web development.
- 5Proven track record of building risk analytics solutions in a production environment.
- 6Experience with regulatory reporting and liquidity risk metrics (LCR, NSFR).
- 7Excellent problem-solving and communication skills, with a focus on delivery.
Salary Insight
Salary not disclosed in listing
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.
Pyramid Consulting, Inc.
VerifiedSenior Python Developer, Liquidity Risk Analytics
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.
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.
Mitchell Martin, Inc.
VerifiedSenior Java Spark Developer, Market Risk
You will own the design and build of distributed data platforms for market risk analytics at a global bank. The platform processes trillions of rows daily, and your work will directly feed real-time risk engines. You will join a team of 10 engineers and partner with quants and risk managers. This contract role demands deep Java and Spark expertise to handle the scale and complexity of financial risk data.
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.