About the Company
State Street Corporation is one of the world’s leading providers of financial services to institutional investors, including investment servicing, investment management and investment research and trading. With $43.9 trillion in assets under custody and/or administration and $4.1 trillion in assets under management as of December 31, 2023, State Street operates in more than 100 geographic markets worldwide, including the U.S., Canada, Europe, the Middle East and Asia. We partner with institutional investors to provide a broad range of services, including investment servicing, investment management, and investment research and trading. Our innovative solutions help clients manage their assets, mitigate risk, and enhance returns. We are committed to fostering a diverse and inclusive environment where every employee can thrive and contribute to our collective success.
Job Description
We are seeking a highly skilled and innovative Quantitative Mathematician to join our dynamic Global Markets team in Boston. This role offers an exciting opportunity to apply advanced mathematical and statistical techniques to complex financial problems, contributing directly to our trading strategies, risk management, and quantitative analysis. The successful candidate will be instrumental in developing, implementing, and validating sophisticated models that drive decision-making across various asset classes. This position is open to candidates requiring visa sponsorship and offers a unique chance to work at the forefront of financial innovation within a global leader in institutional financial services.
Key Responsibilities
- Develop, implement, and validate quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Perform in-depth statistical analysis on large datasets to identify patterns, anomalies, and potential market opportunities.
- Collaborate with traders, portfolio managers, and risk managers to understand business needs and translate them into quantitative solutions.
- Research and apply cutting-edge mathematical and statistical methodologies, including machine learning and artificial intelligence techniques.
- Document models, methodologies, and findings comprehensively for internal and regulatory review.
- Maintain and enhance existing quantitative tools and infrastructure.
- Stay abreast of industry trends, academic research, and regulatory changes relevant to quantitative finance.
Required Skills
- PhD or Master's degree in Mathematics, Physics, Statistics, Quantitative Finance, Computer Science, or a related highly quantitative field.
- 3+ years of professional experience in quantitative analysis, model development, or a related field, preferably within financial services.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in advanced mathematical modeling, stochastic calculus, numerical methods, and statistical inference.
- Experience with large datasets and database management.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Demonstrated strong written and verbal communication skills.
Preferred Qualifications
- Prior experience with financial markets, instruments, and regulatory frameworks.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
- Publication record in peer-reviewed journals or presentations at relevant conferences.
- CFA or FRM certification is a plus.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- 401(k) plan with company match.
- Robust professional development and training programs.
- Employee assistance program.
- Visa sponsorship and relocation assistance available.
- Access to a dynamic and collaborative work environment in a prime Boston location.
- Opportunities for global career advancement.
How to Apply
Interested candidates are invited to submit their application by clicking the "Apply Now" button below. To ensure your application is considered, please include the following:
- A current resume
- A cover letter outlining your suitability for the role and your motivation for applying.
We review applications on a rolling basis and will contact shortlisted candidates for an interview.
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