R0249653 CRO - Quantitative Strategist, Lending Strategist - VP
Job details
Details of the Division and Team: The Quantitative Strategist (Quant Strat) combine expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. Their primary output is a scalable and flexible Front Office pricing and risk management system. The technology platform underlies the trading functions of the Bank as well as management processes around the rational allocation of constrained resources, management of funding costs and capital efficiency programs. What we will 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 center. You can expect:
- Flexible benefits plan including virtual doctor consultation services
- Comprehensive leave benefits
- Gender Neutral Parental Leave
- Flexible working arrangements
- 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement
- Responsible for the development of risk management analytics and tools for the Lending businesses with Deutsche Bank
- Responsible for development of infrastructure to manage the relationship between the Lending businesses and Deutsche Bank Treasury, including improvement and automation of risk and funding processes
- Responsible for development of valuation techniques appropriate to hold-for-maturity accrual businesses
- Build-out and piloting of strategic analytics platform in partnership with Global Technology
- A general desk start role supporting originating businesses and ensuring smooth operation of desk systems
- Minimum of 4 years' working experience in financial services as a quantitative analyst / developer / strat focusing on financial markets or banking book products.
- Proven experience in computing and programming skills in Python and/or C++.
- Proven experience and knowledge in quantitative analytics, modelling, pricing and risk management with a deep understanding of system architecture and programming.
- Ability and aspiration to use, learn and extend large codebase dealing with complex business problems.
- Ability to meet the challenges presented by a fast paced, constantly changing work environment.
- Relevant education in engineering, physics, math, computer science or finance
- Flexible working to assist you balance your personal priorities
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
- Training and development to help you excel in your career
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