Data Scientist

2 weeks ago

Sydney, New South Wales, Australia SIG Full time

**About Us**

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.

Job Description

We're looking for accomplished researchers who are interested in growing their career in the field of quantitative finance.

Our Data Scientists apply mathematics, statistics, and programming to solve complex problems found in our trading environment.

The general lifecycle of a quant project begins with an idea:

  • This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria.
  • As a Data Scientist, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming.
  • Through your research, you may discover a new pattern that can transform into a trading signal.
  • You will work side-by-side with technologists in order to backtest your results and put that trading signal into production.
  • Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance.
  • As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas.
  • Some of those ideas will turn into new quant projects, and the life cycle starts all over again.

Required Skills and Qualifications

We have a comprehensive orientation program designed to bridge the gap between academia and industry.

Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques.

Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.

We are looking for individuals with a PhD in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.

Candidates should possess exceptional mathematical problem-solving skills, solid communication skills, and strong practical computing skills.

Experience working on in-depth research projects is also required.

Benefits

We offer a highly competitive salary of $120,000 - $180,000 per year, depending on experience.

Additionally, we provide attractive bonus opportunities, private healthcare, gym allowances, wellness initiatives, fully stocked kitchen, daily breakfast and lunch, regular social events, visa sponsorship, and relocation package where required.

Interview Process

The interview process consists of online assessments, recruiter interviews, technical interviews, final round interviews, and a job offer.

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