State Street · 2 months ago
Quantitative Risk Analyst
State Street is a global leader in investment management, helping institutional investors manage risk and drive performance. The Quantitative Risk Analyst will focus on delivering modeling and analytics solutions, building models to understand the risk profile of assets and liabilities, and collaborating with various teams to ensure effective risk management.
BankingFinanceFinancial Services
Responsibilities
Assisting with model methodology research, prototyping and determination
Utilizing hands-on experience in building models for various structured and non-structured securities
Utilizing and enhancing quantitative and analytical approaches to achieve risk excellence and meet the standards of both internal and regulatory guidelines
Evaluating the models and approaches of third-party vendors for these risks, as necessary
Collaborating with colleagues, business partners, control functions and other relevant areas of the bank to incorporate regulatory capital constraints and potential policy impacts on investment strategy and allocation decisions
Designing and implementing suitable and effective model monitoring plan including performance metrics, thresholds, and implementation process
Supporting risk management activities and proactively resolve issues
Providing support on special projects, including review, oversight and analysis to support key strategic risk related initiatives
Assisting in development and establishment of risk limits, guidelines and policies, as needed
Ensuring appropriate reporting and governance exists to communicate relevant risk information to senior management
Ensuring proper modeling of asset products within the Quantitative Risk Management system and serve as the subject matter expert by developing a deep understanding of all QRM model data, uses cases, and changes that may impact downstream use cases
Working with the modeling teams to ensure functional and accurate model implementation by thoroughly reviewing all available documentation, coordinating, and analyzing test results of all model methodology changes made to the QRM framework
Advancing proper market calibration methodologies used by QRM in respect to interest rates, spreads, and volatility
Operating and monitoring of complex quantitative and statistical methodologies on yield curve dynamics and assist with the corporate interest rate forecast
Qualification
Required
Master's degree or its equivalent in Financial Engineering, Engineering, Mathematics, Statistics, or a related quantitative field plus 3 years of experience in financial modeling or any occupation/title in which financial modeling experience is gained
1 year of demonstrated experience using the QRM modeling application
Proven knowledge of time series analysis, machine learning, and stochastic calculus
Demonstrated experience with statistical programming environment like Python or MATLAB
Demonstrated experience with SQL, Python, or R
Proven verbal and written communication skills, with ability to articulate ideas and analysis to build complex object-oriented programs that handle big data
Hands-on modeling experience for various fixed income products, focusing specifically on credit risk and market risk
Benefits
Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to our Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
Eligibility for certain tax advantaged savings plans
Company
State Street
State Street offers a range of financial services, including investment management, research and trading, as well as asset management.
Funding
Current Stage
Public CompanyTotal Funding
$12.05B2025-10-23Post Ipo Debt· $1B
2025-04-24Post Ipo Debt· $2B
2025-02-06Post Ipo Equity· $750M
Leadership Team
Recent News
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2026-01-22
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