At a Glance
- Tasks: Analyse and validate derivative pricing models for risk management at Deutsche Bank.
- Company: Deutsche Bank is a leading global investment bank with a strong commitment to innovation.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team that values your insights and fosters a positive work environment.
- Qualifications: Bachelor’s degree in a numerate subject; experience in model validation or quantitative roles required.
- Other info: We promote inclusivity and welcome applications from diverse backgrounds.
The predicted salary is between 28800 - 46200 £ per year.
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Position Overview
Job Title: Quantitative Analyst
Corporate Title: Vice President
Division: Risk
Location: London
Overview:
The Model Risk and Analytics team provides independent oversight and governance for senior managers of model analytics and their implementation into the risk architecture that drive valuation, risk and stress results. Model Validation is responsible for the independent review and analysis of all derivative pricing models used for valuation and risk across the Bank.
Key Responsibilities:
- Reviewing and analysing derivative models for price and risk of interest Rates, and Foreign Exchange (FX) products
- Using deep understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks
- Completing theoretical analysis and reviewing it (where appropriate) that model/products are independently implemented in a managed C++ library
- Reviewing, analysing, and independently implementing will form the basis of discussion with key model stakeholders including Front Office Trading, Front Office Quants, Market Risk Managers, and Finance Controllers
- Actively engaging with the due diligence aspects of the New Product Approval Process and having involvement in Bank-wide strategic initiatives
Skills & Qualifications:
- Educated to Bachelor’s degree level or equivalent qualification/relevant work experience in a numerate subject, such as Mathematics, Financial Mathematics, Physics or Statistics, is beneficial
- Extensive experience in a Model Validation or Front Office Quant role
- Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms
- Deep understanding of interest Rates and FX derivative models
- Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience
- Experience coding in C++ in a managed codebase
- Excellent communication skills, both written and verbal
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Analyst, and Information Technology
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Quantitative Analyst employer: Deutsche Bank
Contact Detail:
Deutsche Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in derivative pricing and risk management. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your C++ coding skills, especially in a managed codebase. Being able to discuss your coding experience confidently can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the finance and quantitative analysis sectors. Attend industry events or join relevant online forums to make connections that could lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to stochastic calculus and numerical algorithms. This will help you feel more confident when discussing your analytical skills.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in model validation, quantitative analysis, and any specific skills mentioned in the job description, such as C++ coding and knowledge of derivative pricing.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention your mathematical abilities and how they relate to the responsibilities outlined, particularly in relation to interest rates and FX products.
Highlight Relevant Qualifications: Clearly state your educational background and any relevant qualifications in numerate subjects. If you have experience with Stochastic Calculus or Monte-Carlo Methods, make sure to emphasise this.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively communicated complex ideas in previous roles, whether in writing or verbally.
How to prepare for a job interview at Deutsche Bank
✨Brush Up on Mathematical Concepts
Make sure you're well-versed in Stochastic Calculus, Partial Differential Equations, and Monte-Carlo Methods. Be prepared to discuss how these concepts apply to derivative pricing models, as this will likely come up during your interview.
✨Showcase Your Coding Skills
Since coding in C++ is a key requirement, be ready to demonstrate your proficiency. You might be asked to solve a problem or explain your previous projects involving C++, so have examples ready that highlight your experience.
✨Understand the Financial Markets
Demonstrate a strong interest in financial markets, particularly in derivatives. Familiarise yourself with current trends and recent developments in the FX and interest rate markets, as this knowledge can set you apart from other candidates.
✨Prepare for Technical Discussions
Expect to engage in technical discussions with model stakeholders. Practice articulating your thought process clearly and concisely, especially when explaining complex models or analyses you've conducted in the past.