3 quantitative trader jobs found

As an eFX Trader you will join the Spot team of the FX & DA Trading Department, which serves the bank’s electronic trading business as principal counterparty in OTC venues and CLOBs and as operator of SQX: Swissquote’s own cryptocurrency exchange. As a team we: contribute to the bank’s commercial goals by managing the electronic risk book (proprietary internalization system). provision competitive Spot liquidity while meeting risk policies of the bank. ensure a gainful network of trading counterparties. ensure SQX serves as an attractive and compliant marketplace for clients and market-makers. 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 our business scope. ensure excellent product quality and participate in its continuous improvement. facilitate new business initiatives in collaboration with various internal teams. The goal is...

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 systems provision competitive Spot liquidity while meeting internal risk policies ensure a gainful network of trading counterparties drive the bank’s ongoing investments in systematic capacities, in collaboration with software engineers and IT drive the quantitative research initiatives relevant to its business scope facilitate new business initiatives in collaboration with various internal teams ensure excellent service quality and engage in its continuous improvement You 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...

Shaping the future of banking with AI: Distilling and optimizing Large Language Models for AI assistants in finance and banking The integration of financial services with technology has created an overwhelming amount of structured and unstructured data. To turn this into reliable, real-time intelligence, we need efficient and well-optimized language models, not just raw scale. Swissquote's Data Science team offers an internship focused on distillation, fine-tuning, and parameter-efficient adaptation (e.g. LoRA) of Large Language Models (LLMs) for production-grade AI assistants. The main objective is to explore, design, and refine model compression and adaptation techniques to build fast, cost-efficient, and robust AI assistants tailored to the banking and finance domains. The DS team is integrated in Swissquote's core research group, the Quantitative Research & Solutions (QRS) department, specialized in theoretical and applied research in Quantitative Finance and Data...