Data Scientist / Quantitative Researcher, Systematic Trading

| Chicago

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With nearly 900 employees at our Chicago headquarters and six global offices, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration. 

The Team:

You will join a quantitative trading team managing systematic equity strategies. The team focuses on non-latency sensitive investment opportunities across geographies. The team is responsible for the complete lifecycle of quantitative investment process; research, development, and trading of systematic strategies. The team strongly emphasizes cutting-edge innovative scientific research, and is looking to add an individual who is enthusiastic about contributing within a team environment.

Responsibilities:

The main responsibility of the role will be to research, design and implement new quantitative trading strategies. This will entail generating alphas from a variety of traditional and alternative datasets using rigorous statistical methods. To be successful in this role, the ideal candidate will need to build a deep understanding of the underlying datasets and be able to apply the latest scientific algorithms for statistical model development. The candidate will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models.

Qualifications:

  • The ideal candidate will be excited about working in a collaborative team environment, with an emphasis on team performance. We also require the following:
  • MS/PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields
  • Exposure to High-Performance Computing and/or Natural Language Processing is a plus
  • Publications in top-tier Journals focusing on any of the above topics is a plus
  • Strong programming skills with the ability to explore large datasets required
  • Excellent written and verbal communication skills to report research results/methodologies required

Preferred:

  • The preferred candidate should have at least 2-3 years of working experience within a quantitative trading/research role
  • Experience with quantitative investment research in Medium Frequency Trading and/or Equity Markets is required
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Technology we use

  • Engineering
    • .NETLanguages
    • C#Languages
    • C++Languages
    • GolangLanguages
    • JavaLanguages
    • JavascriptLanguages
    • PerlLanguages
    • PythonLanguages
    • RubyLanguages
    • ClojureLanguages
    • ElixirLanguages
    • D3JSLibraries
    • jQuery UILibraries
    • ReactLibraries
    • ReduxLibraries
    • Twitter BootstrapLibraries
    • ASP.NETFrameworks
    • Node.jsFrameworks
    • Ruby on RailsFrameworks
    • PhoenixFrameworks
    • Microsoft SQL ServerDatabases
    • MongoDBDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • RedisDatabases
    • RiakDatabases

Location

Situated in Chicago's thriving West Loop, our HQ is convenient for Metra and CTA riders alike - and foodies looking for a bite on "Restaurant Row."
540 W. Madison St., Chicago, IL 60661

Insider's spotlight

How does your team reward individual success?

Our team acknowledges individual success and provides an environment to further new ideas. The team then ensures higher management is aware of your contribution. These accomplishments become part of the individual’s and team’s record at the end of the year. This approach I believe has led to a lot of innovations on my team.

Kumbi

Network Engineer

What kinds of technical challenges do you and your team face?

During my internship in Chicago, I built models in python, ones that are still used on that desk today. The next summer, I returned as a full-time trading analyst and picked up right where I left off. I focus on systematic research and the development and execution of new strategies for the foreign exchange (FX) options desk in Chicago.

Alex

Quantitative Trading Researcher

What are some things you learned at the company?

We’re free to choose the technology stack that best solves each individual problem, so the learning happens project to project. I started programming in C#, but changing teams exposed me to a new suite of languages that I’m now working in regularly

Carissa

Software Engineer

How do your team's ideas influence the company's direction?

Working on the risk team, I combine the principles of risk management and computer science. I help direct how we take risk across the organization, and ensure reliability with the use of really innovative tech.

Brawnski

Software Engineer

What are some social events your company does?

DRW is not all work, all the time. We offer a number of activities and events for all interests, like monthly wine tastings, sports leagues, hobby clubs and movie outings to name a few.

Michelle

Systems Team Lead

What are DRW Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Onsite Gym
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Free Daily Meals
Game Room
Stocked Kitchen
Some Meals Provided
Happy Hours
Recreational Clubs
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement

Additional Perks + Benefits

Daily catered breakfast and lunch. On-site yoga and meditation classes. Trivia nights. Chair massages. Wine Tastings. Mentorship Program. Game Tournaments. Speaker Series and "Geek Lunches".

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