At a Glance
- Tasks: Join a dynamic team developing innovative methodologies for counterparty credit risk.
- Company: Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits.
- Why this job: Make an impact in finance while collaborating with experts in a supportive environment.
- Qualifications: Graduate degree in a quantitative field and experience in financial mathematics and programming.
- Other info: Opportunities for personal development and a strong focus on employee wellbeing.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Corporate Title: Associate
Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will be joining GSA, which combines expertise in quantitative analytics, modelling, pricing and risk management with a deep understanding of system architecture and programming.
You will join the Counterparty Credit Risk Methodology team within GSA which is responsible for Deutsche Bank’s derivatives exposure engine to simulate exposure profiles for derivatives and securities financing transactions by applying regulatory approved simulation models. The simulated time profiles are the basis to calculate exposure metrics such as Expected Positive Exposure (EPE), Potential Future Exposure (PFE) and Average Expected Exposure (AEE) entering the Economic and Regulatory capital calculations for Counterparty Credit Risk. You will also work closely with Market Risk Management (MRM) on Credit Valuation Adjustment (CVA) and Prudential Valuation adjustment on XVA.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- Competitive salary and non-contributory pension.
- 30 days’ holiday plus bank holidays, with the option to purchase additional days.
- Life Assurance and Private Healthcare for you and your family.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide-ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- Contribute to the methodology development focusing on exposure pricing and path generation in the Counterparty Credit Risk internal model.
- Contribute to the methodology development of Prudential Valuation adjustment on XVA.
- Support efforts around internal and external audit response including addressing queries and producing ad-hoc analysis.
- Drive the timely closure of assigned regulatory/audit/validation findings.
- Provide expertise and support to our main stakeholders in Credit Risk Management, Front Office, Finance and Technology.
- Prepare business specifications, code prototypes, and implement code directly when required.
Your skills and experience:
- Graduate degree (PhD or MSc) in a quantitative discipline.
- Demonstrable relevant industry experience in a similar role.
- Ability to solve problems efficiently and effectively.
- Good background in financial mathematics, stochastic calculus, and familiarity with a mainstream programming language preferably Python.
- Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex concepts effectively.
How we’ll support you:
- Flexible working to assist you balance your personal priorities.
- Coaching and support from experts in your team.
- A range of flexible benefits that you can tailor to suit your needs.
We value diversity and as an equal opportunities employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).
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.
Counterparty Credit Risk Methodology Strat in London employer: 0840 Deutsche Bank Aktiengesellschaft, Filiale London
Contact Detail:
0840 Deutsche Bank Aktiengesellschaft, Filiale London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Counterparty Credit Risk Methodology Strat in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deutsche Bank. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can talk confidently about financial mathematics and programming in Python. We want to see your expertise shine!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of examples where you've tackled complex issues effectively. This is key for roles in Counterparty Credit Risk Methodology!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our team at Deutsche Bank.
We think you need these skills to ace Counterparty Credit Risk Methodology Strat in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Counterparty Credit Risk Methodology Strat role. Highlight your quantitative skills, programming experience, and any relevant industry experience. We want to see how you fit into our team!
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 background aligns with our needs. Be sure to mention your experience with financial mathematics and programming languages like Python.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think critically and come up with effective solutions, especially in quantitative settings.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at 0840 Deutsche Bank Aktiengesellschaft, Filiale London
✨Know Your Numbers
Brush up on your financial mathematics and exposure metrics like EPE, PFE, and AEE. Be ready to discuss how these concepts apply to the role and demonstrate your understanding of their importance in counterparty credit risk.
✨Showcase Your Coding Skills
Since programming is a key part of this role, make sure you can talk about your experience with Python or any other relevant languages. Prepare to discuss specific projects where you've implemented code or solved complex problems using programming.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory frameworks that impact counterparty credit risk. Being able to discuss how these regulations influence methodology development will show that you’re not just technically skilled but also aware of the broader context.
✨Prepare for Collaboration Questions
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your interpersonal skills and ability to explain complex concepts to non-technical stakeholders.