Job Description
You will join the FX & DA Trading department, which serves the bank’s electronic trading business acting as principal counterparty in OTC venues and CLOBs, and particularly the SPOT liquidity team.
As a team we :
- contribute to the bank’s commercial goals by managing our in-house developed internalization system
- provision liquidity such that clients’ execution needs and the bank’s regulatory requirements are sustainably met
- drive the bank’s ongoing investments in its proprietary trading and risk systems in collaboration with software engineers and IT
- drive the quantitative research initiatives relevant to its business scope
- ensure excellent product quality and participate in its continuous improvement
You will play a primary role in implementing the team’s quantitative research roadmap and will have the chance to participate in shaping it. The goal is sell-side systematic trading and pricing strategies valid for production. In this context, you may work in collaboration with quants of other teams and a consulting professor with academic experience in market microstructure.
Moreover, the role includes ad hoc data exploration / visualization and reporting to address Traders’ needs.
Qualifications
PhD / MSc in a STEM discipline from top ranked universityStrong analytical and modelling skills suitable to financial tick-dataFamiliar with Machine Learning methods applied to financial forecastingStrong coding skills, especially with respect to Python packages relevant to large data-setsPrevious experience with a sell-side electronic trading firm / bank is a strong plusAble to work under pressure and available to deliver on timeSelf-driven, structured, attention to detail, team-orientedExcellent communication skills and able to develop relationships with interdisciplinary peopleFluent in EnglishAdditional Information