Role Summary
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Role Description
- Implement financial models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution
- Automate advanced data aggregation methodologies for stand-alone execution in controlled environments
- Implement on-the-fly and static data enrichment logic; implement heuristics to regularly monitor wide variances in critical data
- Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks
- Write technical documentation, present and defend results to independent Model Validation team, senior management, and regulators
- Expert understanding of Python Core concepts, including both functional and class-based design.
- Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired
- Experience in writing effective and scalable Python codes independently
- A deep understanding and multi-process architecture and the threading limitations of Python
- Independently address and resolve production issues and perform root cause analysis
- Experience working with large and complex data sets and coding solutions to address requirements of financial institutions, with a working knowledge of banking regulations preferred
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Core/Must have skills
Expert understanding of Python Core concepts, including both functional and class-based design
Experience in writing effective and scalable Python codes independently
A deep understanding and multi-process architecture and the threading limitations of Python
Implement financial models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution
Automate advanced data aggregation methodologies for stand-alone execution in controlled environments
Good to have skills
Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired
Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks
Write technical documentation, present and defend results to independent Model Validation team, senior management, and regulators
Work Schedule
Hybrid
Keywords (If any)
Python Developer
Why this role is important to us
Global Treasury (GT) is responsible for overall balance sheet management including credit, interest rate, and liquidity risk. Treasury Quantitative Analytics is responsible for in depth quantitative modeling that represents the complex interaction of global markets, customer behavior, and regulatory oversight in coordination with business partners across business units, Finance, and Treasury (including Asset/Liability Management (ALM), Global Liquidity Management, and Capital Management). The group supports key risk management and regulatory initiatives including, IRR, liquidity stress testing, CCAR/DFAST, Recovery & Resolution Planning (RRP) and investment & balance sheet strategy.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
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