Quantitative Trading Analyst , FX & DA Trading, SPOT

Building the bank of tomorrow takes more than skills.It means combining our differences to imagine, discuss, code, develop, test, learn… and celebrate every step together. Share our vibes? Join Swissquote to unleash your potential.We are the Swiss Leader in Online Banking and we provide trading, investing and banking services to+650’000 clients, through our performant and secured digital platforms.Our +1200 employees work in a flexible way, without dress code and in multicultural teams.By having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-pace environment.Have a look behind the scenes by checkingHumans of Swissquoteon Instagram.We are all in at Swissquote. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success.Are you all in? Don’t be shy, apply!The candidate 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 proprietary pricing, execution, and internalization systemsprovision competitive Spot liquidity while meeting internal risk policiesensure a gainful network of trading counterpartiesdrive the bank’s ongoing investments in systematic capacities, in collaboration with software engineers and ITdrive the quantitative research initiatives relevant to its business scopefacilitate new business initiatives in collaboration with various internal teamsensure excellent service quality and engage in its continuous improvementYou will play a primary role in implementing the team’s quantitative research roadmap, but also contribute to the team’s day-to-day duties. In this context, you may interact with clients and collaborate with colleagues in other departments e.g. relationship managers, quant researchers and a consulting academics, software engineers and IT experts.Moreover, the role includes ad hoc data exploration/visualization and reporting to address Traders’ needs.Qualifications3+ years trading experience in a sell-side electronic trading firm/bank is a strong plusMSc/PhD in a STEM discipline from top ranked universityStrong analytical and modelling skills suitable to financial tick-dataFamiliar with Machine Learning methods applied to financial predictionsStrong in Python, especially with libraries relevant to large data-setsIn-depth understanding of relevant market microstructure aspects such as:the relationship between risk inventory, liquidity, spreads, volatility, credit, volumesthe resulting economics between liquidity providers and consumersAble to multi-task under pressure while maintaining focus on accuracyAvailable to deliver on timeSelf-driven, structured, attention to detail, team-orientedExcellent communication skills and able to develop relationships with interdisciplinary peopleFluent in English