Design and Architectural Development:Drive the design, development, and implementation of a robust and scalable Wholesale credit forecast library. Implement credit risk models (PD/ LGD/ EL) to provide quantitative support to credit risk analytical processes including CCAR/ CECL/ IFRS 9/ BASEL/ Ratings/ ICAAP - Establish and maintain a scalable architecture that supports complex quantitative models and allows for future expansion. Quantitative Method Integration:Collaborate with quantitative anal... more details
Job Description
Who we are looking for
At State Street, we are dedicated to developing state-of-the-art financial technologies. Our team is seeking a visionary tech leader to innovate the design and implementation of a cutting-edge quantitative library that will revolutionize the way we analyze and process financial data. This is a unique opportunity to influence the fintech space, spearhead a dynamic team, and set new industry benchmarks. If you’re ready to unleash your technical powers and drive innovation, join us on this journey and lead the change in reshaping the future of quantitative risk analysis. The ideal candidate should have strong background in quantitative methodologies and analysis, as well as software development to lead the design and implementation of a new quantitative library from the ground up. In addition, the candidate should be a dynamic and innovative thinker with extensive experience in quantitative finance and software architecture. This role is pivotal in setting the foundation for State Street’s endeavors to strengthen the company’s risk control function.
What you will be responsible for
Design and Architectural Development:
Drive the design, development, and implementation of a robust and scalable Wholesale credit forecast library.
Implement credit risk models (PD/LGD/EL) to provide quantitative support to credit risk analytical processes including CCAR/CECL/IFRS9/BASEL/Ratings/ICAAP
Establish and maintain a scalable architecture that supports complex quantitative models and allows for future expansion.
Quantitative Method Integration:
Collaborate with quantitative analysts, researcher and software engineers to define the technical and functional requirements of the library using the latest methodologies and technologies.
Ensure that implemented models are computationally efficient, accurate, and maintainable.
Quality Assurance & Testing:
Design and oversee the implementation of comprehensive testing frameworks to ensure the reliability and accuracy of the library.
Regularly review and refactor code to maintain code quality and incorporate best practices.
Stay Updated:
Continuously monitor industry trends, technologies, and advancements in the realm of quantitative methods (e.g. generative AI) and Python development.
Drive innovation by recommending and integrating new tools and techniques to keep the library at the forefront of the industry.
What we value
These skills will help you succeed in this role:
Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies
Energetic/motivator: an enthusiastic individual with proven leadership skills and an ability to motivate a diverse, multi-level workforce and instill a sense of urgency on a range of evolving goals and objectives
Organizational strengths: an ability to organize projects, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal direction
Confidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when needed
Communicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness
Education & Preferred Qualifications
Master or PhD degree in Computer Science, Mathematics, Engineering, or a related field.
Minimum of 6 years of experience in application development, at least 3 years in Python, with a focus on numerical algorithms and libraries (e.g., Pandas, NumPy).
Proven track record of architecting and building scalable wholesale credit libraries in a major global financial institution.
Working knowledge of a compiled language like C/C++ as well as high-performance computing, in a Linux environment
Experience in building and maintaining web services, and ideally experience contributing to open-source projects.
Excellent communication skills, capable of explaining complex concepts to non-technical stakeholders
Salary Range:
$130,000 - $212,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
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