At a Glance
- Tasks: Develop and implement innovative quantitative methodologies for non-linear credit analytics.
- Company: Join a leading financial institution with a focus on cutting-edge research.
- Benefits: Competitive salary, professional development, and opportunities to mentor junior colleagues.
- Other info: Dynamic role with opportunities for career advancement and collaboration across teams.
- Why this job: Make a real impact in the finance world while working with top-tier professionals.
- Qualifications: Strong background in mathematics, programming, and quantitative finance required.
The predicted salary is between 72000 - 108000 € per year.
Role focuses on the global management, development, delivery, maintenance and support of FICC and EQD Research’s cross‑asset analytics software libraries.
Responsibilities include:
- Development and implementation of quantitative methodologies to measure capital add‑ons associated to non‑modelable risk factors and standard calculations.
- Adaptation of existing methodologies and support the development environment, communication, tests and best practices.
- Design innovative analytic and implementation approaches, develop and deliver tools based on FI and EQD Research’s analytics libraries.
- Collaborate with quantitative developers, analysts, trading desks and the Global Markets IT division to integrate quant developments into the IT ecosystem.
- Operate independently while escalating complex, high‑risk issues when needed.
- Lead delivery of non‑routine tasks and supervise/mentor junior colleagues.
- Contribute to projects within GMQR such as Credit Transformation or Non‑Linear Credit Pricing Platform Industrialisation.
- Develop, test, deliver and support tools for Structured Credit, Credit Option and Credit Hybrids, and related market‑making, risk & P&L, cost of capital and resource management.
- Support the team with pricing all related requests and develop tools for Structured Credit, Index Tranches and Index Options Market‑making teams.
- Assist the Bank in adapting to new regulations and capital charges by estimating their impacts.
Qualifications:
- Professional qualification in mathematics, statistics, physics, engineering or finance/econometrics, or a PhD in another science or engineering field.
- Expert knowledge in quantitative finance and options; knowledge of stochastic calculus and structured/exotic derivatives is advantageous but not required.
- Professional experience in the financial services industry, ideally with trading activities, market risk, quantitative finance or regulatory projects.
- Strong technical background in pricing Fixed Income, Equity and/or Commodity products.
- Proactive ability to identify development areas, improvement opportunities and take initiative.
- Strong relationship‑management skills and ability to work with individuals to deliver objectives.
- Strong mathematics and numerical techniques (e.g., linear algebra, root‑finding).
- Advanced programming skills: C++, C# and Python with experience in a quantitative research context.
Non-Linear Credit Quantitative Researcher, VP employer: Morgan McKinley
As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that encourages innovation and collaboration. Our Non-Linear Credit Quantitative Researcher role offers exceptional opportunities for professional growth, mentorship from industry experts, and the chance to work on cutting-edge projects that shape the future of finance. Located in a vibrant city, our office provides a stimulating atmosphere where employees can thrive both personally and professionally, supported by comprehensive benefits and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Non-Linear Credit Quantitative Researcher, VP
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, methodologies, and any cool tools you've developed. Let them see your passion for quantitative finance and how you can contribute to their team.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research their current projects and challenges, and come prepared with ideas on how you can help tackle them. It shows you’re proactive and genuinely interested!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at StudySmarter.
We think you need these skills to ace Non-Linear Credit Quantitative Researcher, VP
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Non-Linear Credit Quantitative Researcher role. Highlight your experience in quantitative finance, programming skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to our team. Be sure to mention specific methodologies or tools you’ve developed that relate to the job description.
Showcase Your Technical Skills:Since this role requires strong programming skills, make sure to highlight your expertise in C++, C#, and Python. If you have any projects or examples of your work, include them to demonstrate your capabilities. We love seeing practical applications of your skills!
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 to do!
How to prepare for a job interview at Morgan McKinley
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around non-linear credit products and stochastic calculus. Be ready to discuss specific methodologies you've developed or implemented in the past, as this will show your expertise and how you can contribute to their team.
✨Showcase Your Programming Skills
Since advanced programming skills in C++, C#, and Python are crucial for this role, prepare to talk about your experience with these languages. Bring examples of projects where you've used these skills to solve complex problems, particularly in a quantitative research context.
✨Demonstrate Collaboration
This role involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you’ve integrated quant developments into an IT ecosystem or worked alongside trading desks.
✨Be Ready for Problem-Solving
Expect to face some high-risk scenarios during the interview. Prepare to discuss how you've handled complex issues in previous roles, including your approach to identifying development areas and taking initiative. This will showcase your proactive mindset and ability to operate independently.
