At a Glance
- Tasks: Design and enhance a Monte Carlo simulation engine for credit valuation adjustments.
- 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: Diverse and inclusive workplace with a commitment to employee well-being.
- Why this job: Make an impact in finance using AI and machine learning in a dynamic team.
- Qualifications: Experience in quantitative finance and strong programming skills in Python.
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.
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. Visit our FAQs for more information about requesting an accommodation.
Exciting opportunity to join our Quantitative Trading & Research (QTR) team in London.
Quantitative Trading & Research - Credit Portfolio - Vice President employer: Next Frontier Capital
Next Frontier Capital is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the EMEA Energy sector. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to lead high-impact M&A and capital markets transactions in a dynamic environment. Join us to be part of a team that values strong leadership and proactive engagement, ensuring meaningful contributions to the energy landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading & Research - Credit Portfolio - Vice President
✨Tap into Campus Networks
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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We think you need these skills to ace Quantitative Trading & Research - Credit Portfolio - Vice President
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.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Next Frontier Capital.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Next Frontier Capital's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Next Frontier Capital
✨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 Next Frontier Capital.
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✨Network with Industry Professionals
Before your interview, reach out to current or former Next Frontier Capital 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.
