Counterparty Credit Risk Methodology Quantitative Strategist

Deutsche Bank; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Hybrid working

Competitive salary

30 days holiday plus bank holidays

Life Assurance

Private Healthcare

Flexible benefits

Job summary

Deutsche Bank is looking for a Counterparty Credit Risk Methodology Strat in London. The role involves developing methodologies for exposure pricing, supporting audit responses, and implementing code. You will enjoy a competitive salary, hybrid working model, and excellent benefits.

Ideal candidates will have relevant industry experience, a strong background in financial mathematics, and proficiency in Python. Apply to join a dynamic team focused on innovative risk management strategies.

Qualifications

• Demonstrable relevant industry experience in a similar role.
• Ability to solve problems efficiently and effectively.
• Good background in financial mathematics and stochastic calculus.
• Familiarity with a mainstream programming language, preferably Python.
• Excellent interpersonal skills to collaborate with various teams.

Responsibilities

• Contribute to the methodology development in Counterparty Credit Risk.
• Support efforts around internal and external audit responses.
• Drive the timely closure of assigned regulatory findings.
• Prepare business specifications and implement code when required.

Skills

Problem-solving skills

Financial mathematics

Stochastic calculus

Python programming

Interpersonal skills

Job description

Job Title Counterparty Credit Risk Methodology Strat

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 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

A healthy, engaged and well‑supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

• 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 focussing 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 stakeholder in Credit Risk Management, Front Office, Finance and Technology.
• Prepare business specifications, code prototypes, and implement code directly when required.

Your skills and experience

• 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)

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on [e-mail] to discuss.

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.