Overview
Swissquote is a leader in online banking, providing trading, investing and banking services to +500’000 clients through secure digital platforms. We are an equal opportunity employer with a multicultural team of +1000 employees who work flexibly and without a dress code.
Join the FX & DA Trading department, which serves the bank’s electronic trading business as principal counterparty in OTC venues and CLOBs, particularly the SPOT liquidity team.
Responsibilities
* 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 university
* Strong analytical and modelling skills suitable to financial tick-data
* Familiar with Machine Learning methods applied to financial forecasting
* Strong coding skills, especially with respect to Python packages relevant to large data-sets
* Previous experience with a sell-side electronic trading firm/bank is a strong plus
* Able to work under pressure and available to deliver on time
* Self-driven, structured, attention to detail, team-oriented
* Excellent communication skills and able to develop relationships with interdisciplinary people
* Fluent in English
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