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For Companies At a Glance
- Tasks: Enhance risk models and perform detailed analytics in a dynamic environment.
- Company: Join State Street, a global leader in institutional investing.
- Benefits: Flexible work-life support, paid volunteer days, and inclusive development opportunities.
- Why this job: Make a real impact on market risk modelling while growing your skills.
- Qualifications: Advanced degree in a quantitative field and 3-6 years of relevant experience.
- Other info: Collaborate with global teams and enjoy vibrant employee networks.
The predicted salary is between 36000 - 60000 ÂŁ per year.
State Street is seeking an Assistant Vice President – Quantitative Analyst to join the Centralized Modelling, Analytics & Operations (CMAO) team within Enterprise Risk Management. CMAO develops and maintains risk‑measurement models across both the banking book and the trading book. The initial focus of this role is to support key enhancements to Interest Rate Risk in the Banking Book (IRRBB) and Credit Spread Risk in the Banking Book (CSRBB). This involves hands‑on modelling, analytics, documentation, and close partnership with senior team members responsible for the overall framework. As skills and capacity allow, the AVP may also gain exposure to broader Enterprise Market Risk modelling, including trading‑book interest‑rate and credit‑spread risk, making this an excellent development role for someone who wants to expand into cross‑book market‑risk modelling. The position is based in the United States with regular collaboration with colleagues in the UK and EMEA.
Key Responsibilities
- IRRBB & CSRBB Analytics and Model Enhancement (Primary Focus)
- Support enhancements to IRRBB/CSRBB methodologies in QRM, including EVE and NII modelling.
- Perform detailed analysis of sensitivities, behavioural assumptions, scenario impacts, and attribution of results.
- Assist with ensuring analytics are produced consistently and align with risk‑appetite and governance expectations.
- Help diagnose issues in model configuration, data inputs, and scenario behaviour.
- Documentation, Review Support, and Governance Preparation
- Contribute to technical documentation describing model assumptions, methodology, configuration, and limitations.
- Prepare analysis for senior‑management committees, model‑risk review, and internal challenge sessions.
- Support responses to Model Risk Management, Internal Audit, and oversight groups by assembling evidence, data extracts, and explanations.
- Broader Market‑Risk Modelling (Development Opportunity)
- Assist with cross‑book analytical work across banking‑book and trading‑book interest‑rate and credit‑spread risk.
- Contribute to enhancements in risk‑factor modelling, scenario design, sensitivities, and stress testing.
- Work with Global Markets Risk teams on market‑data analysis, curve construction, and spread analytics.
- Cross‑Functional Analytical Support
- Collaborate with CMAO, Treasury, Model Risk Management, and regional teams.
- Communicate technical results clearly to colleagues with varying quantitative backgrounds.
- Manage workloads across multiple workstreams and deliver high‑quality work within timelines.
Essential Qualifications & Experience
- Advanced degree in a quantitative discipline.
- 3–6 years of experience in IRRBB/CSRBB, ALM, market risk, model development, or related analytics.
- Working experience with QRM.
- Strong analytical and programming skills in Python, R, or similar.
- Understanding of IRRBB/CSRBB regulatory expectations.
- Ability to produce clear technical documentation.
Desirable
- Exposure to trading‑book market‑risk analytics or derivative pricing.
- Experience supporting model validation or audit.
- Familiarity with risk‑factor modelling, sensitivity calculations, or scenarios.
- Experience handling large and complex market‑data sets.
Soft Skills
- Strong written and verbal communication skills.
- Curiosity and willingness to grow across banking‑book and trading‑book risk domains.
- High attention to detail and organisational skills.
- Ability to work in dynamic environments.
About State Street: Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
Enterprise Market Risk Quantitative Analyst (IRRBB & CSRBB), AVP employer: State Street
Contact Detail:
State Street Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Market Risk Quantitative Analyst (IRRBB & CSRBB), AVP
✨Tip Number 1
Network like a pro! Reach out to current employees at State Street or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can discuss IRRBB and CSRBB confidently, as well as your experience with QRM and programming languages like Python or R.
✨Tip Number 3
Showcase your analytical prowess! Be ready to share examples of how you've tackled complex data sets or model enhancements in past roles. Real-life stories resonate well with interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at State Street.
We think you need these skills to ace Enterprise Market Risk Quantitative Analyst (IRRBB & CSRBB), AVP
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with IRRBB and CSRBB. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Show Off Your Analytical Skills: Since this role is all about analytics and modelling, be sure to include specific examples of your analytical work. Whether it’s using Python or R, let us know how you’ve tackled complex data sets and what results you achieved.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured document that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at State Street
✨Know Your Models
Make sure you have a solid understanding of IRRBB and CSRBB models. Brush up on the methodologies used in QRM, as well as the key enhancements that are currently being implemented. Being able to discuss these topics confidently will show your expertise and readiness for the role.
✨Prepare for Technical Questions
Expect to face technical questions related to model development and analytics. Review your programming skills in Python or R, and be ready to demonstrate your analytical abilities. Practising coding problems or model scenarios can help you feel more prepared.
✨Showcase Your Communication Skills
Since you'll need to communicate complex technical results to colleagues with varying backgrounds, practice explaining your past projects in simple terms. Highlight your ability to document model assumptions and methodologies clearly, as this is crucial for the role.
✨Demonstrate Curiosity and Growth Mindset
Express your eagerness to learn and grow within the banking-book and trading-book risk domains. Share examples of how you've tackled challenges in the past and your willingness to collaborate across teams. This will resonate well with the company's values and culture.
