Vice President, Quantitative Researcher — CIO Asset & Liability Management (ALM) in London

Vice President, Quantitative Researcher — CIO Asset & Liability Management (ALM) in London

London Full-Time 85500 - 104500 £ / year (est.) On-site
J

At a Glance

  • Tasks: Shape how a global bank manages interest rate risk through innovative modelling.
  • Company: Join a leading global bank with a focus on quantitative research.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities for mentorship and technical leadership.
  • Why this job: Make a real impact in banking by developing cutting-edge analytics.
  • Qualifications: Advanced degree in a quantitative field and strong Python skills required.

The predicted salary is between 85500 - 104500 £ per year.

Help shape how a global bank manages interest rate risk.

In this role, you will build and support models that quantify balance sheet sensitivity to rate and volatility moves.

You will partner closely with risk managers, Treasury stakeholders, and technology teams to deliver production-quality analytics that drive decisions.

As a Vice President Quantitative Researcher in the Asset and Liability Management Quantitative Research team, you will build and support interest rate risk and pricing models on the firm’s quantitative analytics platform, with a primary focus on deposits, callable instruments, municipal securities, swaptions, and linear rates.

You will own the modeling of behavioral and optionality features across the banking book, calibrate the interest rate and volatility models that underpin our analytics, and ensure models meet internal risk and accounting requirements.

You will partner closely with risk managers, Treasury stakeholders, technology, and model risk governance to deliver robust analytics with measurable business impact.

This is a banking-book interest rate risk role focused on asset and liability management and structural rate exposure, not trading-desk margin or clearing.

  • Job responsibilities
  • Build and support banking-book interest rate risk and pricing models on the firm’s quantitative analytics platform.
  • Model deposits and other behavioral products, including optionality and prepayment/call behavior.
  • Develop and enhance models for callable debt, callable preferred instruments, municipal securities, and insurance-related balance sheet products.
  • Calibrate interest rate and volatility models used across the asset and liability management portfolio.
  • Apply and extend existing quantitative libraries where appropriate, and build bespoke models when needed.
  • Ensure models reflect internal risk measurement requirements and applicable accounting frameworks (including available-for-sale and hedge accounting).
  • Serve as model owner/developer by managing documentation, controls, monitoring, and change management.
  • Respond to model risk, audit, and regulatory reviews with clear explanations of assumptions and limitations.
  • Deliver performant, production-quality analytics using strong engineering practices (testing, reproducibility, and continuous delivery).
  • Communicate complex quantitative concepts clearly to non-technical stakeholders and drive alignment across partners.
  • Provide technical leadership through code and method reviews and mentorship across the team.
  • Required qualifications, capabilities, and skills
  • Advanced degree (Ph D, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
  • Demonstrated quantitative research/development experience in interest rate modeling, asset and liability management, or fixed-income derivatives, with production delivery experience.
  • Hands-on experience developing on the
  • Athena quant platform (hard requirement)
  • Hands-on experience developing on the firm’s strategic quantitative analytics platform.
  • Strong knowledge of interest rate products and models, including linear rates, swaptions, callable products, curve construction, and volatility modeling.
  • Understanding of banking-book interest rate risk and asset and liability management concepts.
  • Strong Python programming skills, including building maintainable, testable, and performant quantitative code and applying numerical methods.
  • Strong quantitative problem-solving skills, including the ability to decompose ambiguous problems and communicate uncertainty and trade-offs clearly.
  • Strong communication and stakeholder management skills across quantitative, risk, Treasury, and technology partners.
  • Preferred qualifications, capabilities and skills
  • Expertise in curve building (including multi-curve frameworks), volatility modeling and calibration (for example, SABR and short-rate models), and numerical methods (finite-difference methods and Monte Carlo).
  • Experience modeling deposits and other behavioral products, callable debt, callable municipal securities, and insurance-related balance sheet products.
  • Familiarity with hedge accounting and internal risk measurement frameworks relevant to asset and liability management.
  • Experience with model risk governance and regulatory expectations for pricing and risk models.
  • Familiarity with data tooling (SQL), performance engineering for large-scale simulations, and applied machine learning techniques in quantitative finance.

Vice President, Quantitative Researcher — CIO Asset & Liability Management (ALM) in London employer: J.P. Morgan Chase & Co.

At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Bournemouth. As a Principal Software Engineer, you'll have the opportunity to lead impactful projects while benefiting from our commitment to employee growth through continuous learning and development initiatives. Join us to be part of a diverse team that values your contributions and supports your career aspirations in a globally recognized financial services firm.

J

Contact Details:

J.P. Morgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Vice President, Quantitative Researcher — CIO Asset & Liability Management (ALM) in London

✨Tap into Campus Networks

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We think you need these skills to ace Vice President, Quantitative Researcher — CIO Asset & Liability Management (ALM) in London

Quantitative Research
Interest Rate Modeling
Asset and Liability Management
Fixed-Income Derivatives
Python Programming
Model Calibration
Behavioral Product Modeling

Some tips for your application 🫡

Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.

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How to prepare for a job interview at J.P. Morgan Chase & Co.

✨Brush Up on Financial Analysis Skills

Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with J.P. Morgan Chase & Co..

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Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.

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Since this is a full-time position, employers at J.P. Morgan Chase & Co. will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.

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Before your interview, reach out to current or former J.P. Morgan Chase & Co. employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.