- The quantitative ability to build models for asset price prediction at high and medium frequencies;
- The technical skill to build prototype implementations of both the model and resulting trading strategy;
- The experience in financial markets to analyse the resulting trades, and to understand latency and feasibility of the strategy in the market;
- The communication skills to explain clearly your ideas and results to the rest of the team. This will require working with C++ and/or Python systems to extract the data you will require.
- M.S./Ph.D. in Computer Science/Statistics/Math or equivalent experience.
- Several years’ experience in financial markets and ability to recognize/understand trading opportunities
- Able to work well in a team environment and produce studies for peer review
- Experience in modelling ( familiar with Statistical /Data Analysis/ Machine learning techniques)
- Comfortable programming C++ and Python in a Linux environment
- Able to develop prototype strategies in large existing C++ code base
- Experience with Big Data
SIG is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.What we do:
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.Equal Opportunity StatementWe encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.