Quantitative Analyst, Officer, Hybrid

State Street Markets is hiring a Quantitative Analyst, Officer, for its Model Risk team. The role supports statistical and financial modeling, capital and liquidity analyses, independent model testing, model monitoring, and reviews of proprietary trading algorithms.

What you'll do:

• Support model owners in the execution of engagement-specific statistical and financial modeling and analyses, and in the preparation of final model deliverables
• Support the Markets Risk and Capital Optimization team on capital- and liquidity-related quantitative analyses
• Develop customized solutions to perform independent model testing and document the development methodology and implementation process
• Establish appropriate benchmarking and back-testing techniques based on the model class, purpose, horizon, hedging implications, and other relevant factors
• Identify key model risks by stress-testing model inputs and parameters
• Demonstrate model stability across alternative specifications and input ranges, including extreme values and boundaries of model effectiveness
• Collaborate with model owners to design and implement ongoing monitoring plans, including performance metrics, thresholds and escalation plans
• Develop first-line-of-defense documentation covering model development, implementation and ongoing monitoring
• Work with model owners and developers to update models in line with internal model validation requirements
• Conduct post-implementation reviews of SSM proprietary trading algorithms, including code and strategy changes, compliance with the FX Global Code, and independent testing of selected components
• Communicate with quantitative professionals and developers to understand strategy changes and justify modeling assumptions and results to internal model validation and external regulators
• Prepare and deliver engagement status updates to key stakeholders and manage workflows to ensure timely deliverables

What they're looking for:

• Strong understanding of quantitative analysis methods in relation to financial institutions
• High-level understanding of capital- and liquidity-related regulations
• Ability to multitask and operate in a fast-paced, deadline-oriented environment
• Strong verbal and written communication skills, with the ability to explain complex concepts, facilitate discussions and resolve conflicts among stakeholders with competing interests
• Graduate degree in a quantitative discipline, such as Financial Mathematics, Financial Engineering, Mathematics, Statistics or a related field
• Advanced programming skills in at least one supported statistical programming environment, including Python, R or MATLAB
• Intermediate programming skills in VBA and other languages
• Knowledge of financial markets, including securities lending, equities and derivatives, FX or electronic trading, is a plus
• 0-3 years of experience in the model risk field preferred
• Java experience is a plus

Benefits:

• Hybrid model, balancing work from home and office to match your needs and role requirements
• 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 the Employee Assistance Program
• Eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
• Eligibility for certain tax advantaged savings plans
• Inclusive development opportunities
• Flexible work-life support
• Paid volunteer days