At a Glance
- Tasks: Develop and enhance a Monte Carlo simulation engine for credit valuation adjustments.
- Company: Leading investment bank with a focus on innovation and data-driven solutions.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture promoting diversity and inclusion.
- Why this job: Join a dynamic team transforming finance with AI and machine learning.
- Qualifications: Experience in quantitative finance and strong programming skills in Python.
The predicted salary is between 80000 - 120000 £ per year.
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm’s credit and funding valuation adjustments (CVA and FVA), which are critical to the bank’s risk management and pricing strategies, and develops and maintains a large-scale Monte‑Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research – Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state‑of‑the‑art AI and machine learning techniques.
Job Responsibilities
- Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio.
- Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities.
- Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure.
- Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment.
- Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs.
- Drive best practices in quantitative research, software development, and analytical rigor across the team.
Required qualifications, capabilities, and skills
- Solid experience within a quantitative role in finance.
- Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics.
- Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices.
- Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management.
- Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams.
- Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards.
- Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity.
Preferred qualifications, capabilities, and skills
- Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science.
- Markets experience and familiarity with general trading concepts and terminology.
- Knowledge of options pricing theory, trading algorithms or financial regulations.
- Experience with robust testing and verification practices.
Equal Employment Opportunity Statement
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.
Quantitative Trading & Research â Credit Portfolio â Vice President in London employer: 慨正橡扯
As a leading player in the financial sector, our company offers an exceptional work environment in London, where innovation and collaboration thrive. We prioritise employee growth through continuous learning opportunities and a commitment to diversity and inclusion, ensuring that every voice is heard and valued. Join us to be at the forefront of transforming the investment banking landscape with cutting-edge analytics and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading & Research â Credit Portfolio â Vice President in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and quantitative fields. Attend industry events or webinars, and don’t be shy about introducing yourself. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about your experience with Monte Carlo simulations and Python programming. We want you to shine when discussing how you can contribute to our Credit Portfolio Group!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant quantitative models or analytical tools, make sure to highlight them during your conversations. We love seeing real examples of your work and how you’ve tackled complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to transform the investment bank into a data-driven powerhouse!
We think you need these skills to ace Quantitative Trading & Research â Credit Portfolio â Vice President in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your quantitative skills and experience in finance, especially any work with Monte Carlo simulations or risk management. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how your expertise can contribute to our team. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Since we're looking for someone with strong programming skills, make sure to highlight your experience with Python and any large-scale systems you've developed. We love seeing examples of your work, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at 慨正橡扯
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific numerical techniques you've used in past roles. Given the focus on Monte Carlo simulations and risk management, having concrete examples of how you've applied advanced numerical methods will impress the interviewers.
✨Showcase Your Coding Skills
Since expert-level programming in Python is a must, prepare to demonstrate your coding abilities. Bring along examples of your work or be ready to solve coding challenges on the spot. Highlight any large-scale systems you've developed and how you ensured their robustness and maintainability.
✨Communicate Clearly
Exceptional communication is key for this role. Practice explaining complex concepts in simple terms, especially those related to trading algorithms and risk management. Be prepared to engage with senior partners and stakeholders, showcasing your ability to influence and advise effectively.
✨Understand the Business Context
Familiarise yourself with the broader context of the investment bank's operations. Understand how the Credit Portfolio Group fits into the overall strategy and be ready to discuss how your contributions can drive the transformation into a data-driven business. This shows you're not just technically skilled but also aligned with the company's goals.
