At a Glance
- Tasks: Join a team to trade on pricing inefficiencies and develop innovative models.
- Company: Tech-driven trading firm with a focus on collaboration and technology.
- Benefits: Competitive salary, mentorship from experienced traders, and hands-on learning opportunities.
- Other info: Dynamic environment with opportunities for growth and learning in tech and trading.
- Why this job: Dive into the world of trading with cutting-edge technology and real-world impact.
- Qualifications: Strong quantitative skills and a collaborative mindset; no finance background needed.
The predicted salary is between 50000 - 70000 £ per year.
Our trading is based on our own proprietary models and on busy days we engage in over a million trades.
Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas.
Experienced Traders teach and oversee the less-experienced.
New Traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it.
Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm.
We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml Engineers in any industrial setting.
About You
We are looking for people who have a strong quantitative mind and enjoy working collaboratively to solve challenging problems in a practical setting.
Prior knowledge of finance or economics is not expected or required.
Experience with particular programming languages is also not required, although generally being comfortable programming in your language of choice is a plus.
Fluency in English required.
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet. com
#J-18808-Ljbffr
Quantitative Trader - Tech-Driven Markets & Models employer: Jane Street
At Jane Street, we pride ourselves on being an exceptional employer, offering a unique blend of cutting-edge machine learning research and real-world trading applications. Our collaborative work culture fosters innovation and continuous learning, providing interns with unparalleled access to vast datasets and advanced computing resources. With a focus on personal and professional growth, you'll have the opportunity to work alongside experienced researchers, tackling complex challenges that push the boundaries of machine learning in finance.
