GSA (Global Strategic Analytics) - Quantitative Developer - VP
CreditQuant also derives credit & rates RFQ flows for modelling trading & hedging strategies, generating mar
Details of the Division and Team: Deutsche Bank's CreditQuant data platform team, which is a part of DB Group Strategic Analytics, is 10-member global team involved in the development of a niche KDB based data and analytics platform built to service a number of functions in the front office including flow credit, algo trading, sales trader workflow tools and client profitability analysis.CreditQuant also derives credit & rates RFQ flows for modelling trading & hedging strategies, generating market impact metrics, hit rates and client flow reports. What we will offer you: A healthy, engaged and well-supported workforce is 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: Develop and maintain a suite of application that support functions in the front office focused on flow credit, sales trader workflow tools, relative value and client analytics Generating market impact metrics, hit rates, client analytics and flow reports Develop tools for PNL computation and attribution for holistically analyzing account profitability, balance sheet utilization and desk performance Manage the application APAC time in terms of onboarding/supporting business users Analyzing and building financial and mathematical models to be used for forecasting, computational simulation and portfolio analysis Your skills and experience: Minimum of 6 years' working experience in financial services as a quantitative developer / Strat focusing on financial markets Proven experience in computing and programming skills in Kx KDB/Q or Python or C++ Proven experience in predictive modelling, time series forecasting and data mining techniques Minimum Bachelors' Degree in a relevant subject such Computer Science, Mathematics, Statistics, Engineering, Physics or equivalent Experience in FIC/Credit markets Prior experience in web development using JavaScript, Python, HTML5 with good analytical and quantitative skills Experience in working with tick data and analytical processing applications.
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 About us and our teams: Deutsche Bank is the leading German bank with strong European roots and a global network.
click here to see what we do Deutsche Bank & Diversity 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.