Quantitative Strategist Senior Specialist

Deutsche Bank; London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

A leading global bank in London is seeking a Quant Strategist Senior Specialist. The role involves developing quantitative model methodologies and supporting production applications using Python and C++. Candidates should have a strong quantitative background and prior experience in finance, particularly in derivatives valuation. This position offers a hybrid working model and various employee benefits, ensuring a supportive work environment.

Benefits

Hybrid Working

Competitive salary

30 days’ holiday plus bank holidays

Life Assurance and Private Healthcare

Flexible benefits package

Qualifications

• Solid quantitative background with strong analytical skills.
• Prior exposure to finance, especially derivatives valuation.
• Hands-on development skills in Python and/or C++.
• Desire to learn new subjects and work within a team.

Responsibilities

• Develop model methodology and provide justification for modeling choices.
• Develop production applications in Python and C++.
• Ensure system stability and calculation accuracy.
• Create regulatory-compliant model documentation.
• Collaborate with traders and risk managers on model improvements.

Skills

Quantitative analysis

Python

C++

Risk management

Problem-solving

Team collaboration

Job description

Job Description:

Job Title Quant Strategist Senior Specialist

Location London

Corporate Title Vice President

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.

GSA concentrates Deutsche Bank’s quantitative and modelling expertise within a single unit. With group-wide responsibility for model development GSA takes a cross-business and cross-functional approach to solving quantitative modelling and analytics challenges and rolls out common development standards.

You will join the Market Risk Strats unit within GSA, which is a team comprised of people with technology, front office quant and risk methodology experience. Your immediate focus will be on methodology development and implementing models for Valuation Control, including model reserves, prudent valuation, fair value reserves, and transactions based back-testing. In addition, you will support and participate in the build of a system for capital and reserve reporting and optimisation that will be deployed to Valuation Control, Finance, and Trading.

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 development of model methodology, provide quantitative and qualitative justification for modelling choices
• Participate in the development of production applications implemented in Python and C++
• Maintain a rigorous focus on system stability, and completeness and accuracy of calculations, as applications are developed, and continue with this focus as they are used in production
• Contribute to creating regulatory compliant model documentation for new models and model changes
• Analyse and explain calculated numbers, work together with traders, risk managers and strategist colleagues to continuously improve models and risk management and pricing tools

Your skills and experience

• Solid quantitative background, extensive analytical skills and ability to efficiently solve problems proactively
• Prior exposure to finance, in particular derivatives valuation
• Knowledge and understanding of a range of asset classes including rates, foreign exchange (FX), and inflation
• Hands-on development skills in Python and/or C++
• Familiarity with source code control, unit-testing, regression testing, release and deployment controls
• Desire/ enthusiasm to learn new subjects and ability to work in a team

How we’ll support you

• Training and development to help you excel in your career
• Flexible working to assist you balance your personal priorities
• A culture of continuous learning to aid progression
• 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 (for example, 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 have been named The Times Top 50 Employers for Gender Equality 2025 for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion.

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.