CRO - Quantitative Strategist, Lending Strategist – VP
3 weeks ago
Description
: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
Your key responsibilities:
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
Your skills and experience:
Minimum of 4 years' working experiencein 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 and pricing.
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
Role is required to be performed on-site at One Raffles Quay office. Relevant vaccination requirements may apply.
How we’ll support you:
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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