At a Glance
- Tasks: Develop cutting-edge analytics for the Credit Portfolio Group using advanced numerical techniques.
- Company: Join a 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 with a commitment to diversity and inclusion.
- Why this job: Make a real impact in transforming finance through AI and machine learning.
- Qualifications: Experience in quantitative finance and expert programming skills in Python required.
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.
- 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.
- 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.
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 employer: 慨正橡扯
Join our dynamic team in London as a Vice President in Quantitative Trading & Research, where you will be at the forefront of transforming the investment banking landscape through innovative data-driven solutions. We pride ourselves on fostering a collaborative work culture that values diversity and inclusion, offering exceptional growth opportunities and the chance to work with cutting-edge AI and machine learning techniques. With a commitment to employee development and a focus on best practices in quantitative research, you'll find a rewarding environment that encourages both personal and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading & Research â Credit Portfolio â Vice President
✨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 asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and quantitative analysis. This is your chance to demonstrate your expertise in developing large-scale systems and advanced numerical techniques. We love seeing practical applications of your knowledge!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Monte Carlo simulations and risk management. Practice explaining complex concepts clearly, as communication is key in our field. We want to see how you can engage with traders and risk managers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who can help us transform the investment bank into a data-driven powerhouse. Let’s make it happen together!
We think you need these skills to ace Quantitative Trading & Research â Credit Portfolio â Vice President
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Trading & Research role. Highlight your programming expertise in Python and any relevant projects that showcase your ability to lead technical initiatives.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about quantitative finance and how your background makes you a perfect fit for our team. Be specific about your experience with Monte Carlo simulations and risk management.
Showcase Your Communication Skills:Since this role involves collaborating with various teams, demonstrate your exceptional communication skills in your application. Share examples of how you've effectively engaged with stakeholders on complex topics.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and allows us to review your qualifications more efficiently. Don’t miss out on this opportunity!
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 advanced numerical techniques. Since the role involves developing a Monte Carlo simulation engine, make sure you can explain how these models work and their applications in risk management.
✨Showcase Your Coding Skills
Be prepared to demonstrate your programming expertise, especially in Python. Bring examples of past projects where you've led development efforts or improved system performance, and be ready to discuss best coding practices.
✨Communicate Clearly
This role requires exceptional communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to engage with traders and stakeholders. Think about how you can convey your ideas clearly and effectively.
✨Understand the Business
Familiarise yourself with trading concepts and the specific needs of the Credit Portfolio Group. Research the firm’s approach to risk management and be ready to discuss how your analytical solutions can drive their strategic agenda.
