Senior Python Developer, Liquidity & Risk Analytics
Overview
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.
What You'll Do8
- 1Build Python and PySpark pipelines that process daily liquidity positions and produce regulatory reports.
- 2Design Django APIs to expose risk metrics to front-office and compliance teams.
- 3Develop financial models for cash flow forecasting and stress testing using Pandas and NumPy.
- 4Optimize performance of risk calculations by profiling and refactoring code, reducing runtime by 30%.
- 5Collaborate with quants to translate mathematical models into production-grade software.
- 6Write unit tests and integration tests to ensure accuracy of risk calculations.
- 7Participate in code reviews and enforce best practices for version control and documentation.
- 8Troubleshoot production issues and implement fixes within SLA.
Requirements8
- 15+ years of hands-on software development with Python, PySpark, Pandas, and Django.
- 24-6 years of experience in liquidity analysis and risk analytics within financial services.
- 3Strong background in computer science, including algorithms, data structures, and software design.
- 4Proficiency with SQL and relational databases for data extraction and aggregation.
- 5Experience with version control systems like Git and CI/CD pipelines.
- 6Knowledge of financial products and risk concepts, including cash flow modeling and stress testing.
- 7Excellent problem-solving skills and attention to detail.
- 8Ability to communicate technical results to non-technical stakeholders.
Salary Insight
$65 - $70k per year
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
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.
94-1687665 Bank of America, National Association
VerifiedSenior Finance Analyst Global Liquidity Management
Lead design and execution of bank-wide liquidity strategies across lines of business and legal entities. Influence optimal bank-wide liquidity approaches while managing stress scenarios. Provide actionable guidance to enhance liquidity positions and support regulatory compliance. Drive improvements in reporting processes and collaborate with cross-functional teams to achieve organizational goals.
Capital_One
VerifiedSenior Manager Data Analyst Risk Management Product
Lead cross-functional teams to validate enterprise-wide analytical tools ensuring business impact. Drive technical and analytical growth while influencing strategy. Foster work/life balance in a dynamic environment. Seek candidates with strong problem solving and leadership abilities.
Axiom Path
VerifiedSenior Front Office QA Engineer - Python & Fixed Income
You will own quality assurance for fixed-income trading applications at a global financial institution, validating and certifying Python-based analytics and pricing models used by front-office sales and trading. Collaborate with quantitative developers and traders to ensure trading accuracy and platform reliability in a high-performance environment. This role demands deep expertise in PySpark and pytest to build test frameworks that scale. You will drive test automation across CI/CD with Jenkins and Docker, ensuring rapid feedback loops. The position offers direct exposure to front-office operations, setting it apart from typical QA roles.
BlackRock_Professional
VerifiedAssociate Liquid Credit Portfolio Analytics & Reporting PFS - New York
HPS BlackRock seeks an Associate to lead Portfolio Analytics & Reporting for the PFS Liquid Credit platform. You will own timely performance reporting and risk metrics for internal and external stakeholders. This role combines analytical rigor with collaborative teamwork to deliver insights across diverse credit products.
JPMorganChase
VerifiedSoftware Engineer III - Big Data, Databricks, Python/Java
You own the build-out of JPMorgan Chase's global Know Your Customer (KYC) and Risk Assessment Data Platform, processing petabytes of data at enterprise scale. You join an agile data engineering team within Corporate Technology, working on secure, stable, and scalable systems that power critical compliance decisions. Collaborate with cross-functional teams across the firm to drive best-in-class outcomes in Python, Java, and Databricks environments. Your work directly enhances a market-leading platform used by millions of consumers and top-tier institutions. This role centers on crafting durable, reusable frameworks while leveraging AI-assisted coding tools to accelerate delivery.