COVID-19 - Business as Usual:In light of the on-going COVID-19 pandemic, SIG has implemented arrangements including remote working to ensure the safety of its staff and business continuity. SIG continues to provide liquidity with functions staffed as normal and clients able to liaise with their usual business contacts.
“Fortunately, we don’t have a ‘typical’ day at SIG…”
What it’s like to be a Quantitative Researcher at SIG
At times, we’re working on a long-term, complex study and spend most of the day on the same project, building or evaluating models. At other times, we work on tactical studies: quick projects, taking from a few hours to a few days, generally stemming from a trader and that often leads to quick adjustments in our trading.
On any given day, we could be…
Reasoning, analyzing, and making sense of the data
While generating and testing hypotheses, we jump between machine-driven data analysis and human thought, all to understand every step of a sophisticated trading idea. To build and test our models, we convert the complicated algorithms in our minds to computer code, using Python, Matlab, C#, or C++. We share a passion for problem-solving and applying our work to real-time opportunities within the capital markets.
Checking our assumptions
Are the assumptions accurate, or have they introduced a bias? Can they be relaxed, or are they maybe not needed at all? We talk with traders or other team members regularly to make sure the important effects are being captured without degrading performance.
Collaborating with trading system developers on a strategy release
Once we’re convinced the strategy idea is indeed a good trade, we ensure that the final release behaves as expected and work with software developers about how to further improve the footprint of the strategy.
Reviewing projects post-production
After developing a trading strategy, we often need to recalibrate or reassess the strategy based on changes in market conditions or differences in its real world behavior from that in backtesting.
Why being a quant at SIG is unique
We see the impact of our research
Our projects do not end with suggestions and recommendations for other teams. We test, re-evaluate, and participate in the full life cycle of our projects, ultimately seeing them come to fruition and impact our daily trading strategies.
We collaborate outside of our team
Brainstorming with trading, technology, and business team members helps us understand the marketplace, gives us feedback on how strategies are performing, and often leads us to new ideas. We have the benefit of learning from experts across many of SIG’s teams to better strategize for our next projects.
We’re always learning
Whether we are hosting seminars and presentations for the company or participating in industry conferences, continuing our education is an important effort throughout our team. Informally, we share our ideas and findings regularly. We are also encouraged and supported in seeking knowledge outside of SIG that will benefit our strategies, projects, and team.