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Quantitative Research Scientist

2 months ago

Houston, United States Quantlab Full time
Description

To support the continued growth of our large-scale, fully-automated, quantitative trading across global financial markets, Quantlab is seeking a Quantitative Research Scientist to add to our team in Houston, TX. Candidates will apply rigorous statistical methods on a wide range of datasets leveraging Quantlab's world-class research and trading infrastructure in a challenging, informal, and intellectually-stimulating environment.

What you'll do:
  • Collect and analyze market data in order to extract patterns, correlations and understand global markets
  • Utilize the results to create predictions and trading signals using statistical/ML analysis
  • Conduct research to build and refine monetization systems for trading signals
  • Collaborate extensively within and across teams
What you'll have:
  • Graduate degree in Statistics, Math, Physics, Engineering, or other highly-quantitative field
  • Solid mathematical and analytical ability
  • Exceptional problem-solving and modeling ability
  • Demonstrated ability to conduct high quality quantitative research
  • Modeling experience with large and complex real-world data (in any field)
  • Working familiarity with Python, R or MATLAB
  • Self-motivated and highly-productive, with a strong sense of ownership and urgency
  • Strong written and verbal communication skills
Bonus points:
  • Industry experience (e.g., research in cross-sectional micro/macro structure in Equities/Futures, daily/multiday trading strategies, alternative data)
  • Proven record of initiating innovative research, familiar with top tier research environment
  • Understanding of underlying logic of certain trading strategies
  • Practical experience in applying/diagnosing/modifying machine learning algorithms with real data, demonstrated in previous job/data science competition
  • History of peer-reviewed publications

Who we are:

Quantlab is a quantitative trading firm where Technology and Scientific Research are central to our business and key to our success. Founded in 1998, Quantlab is a pioneer in quantitative algorithmic trading. Behind our success is our people. We hire some of the smartest and most passionate engineers and quants in the world.

The firm is privately held with headquarters in Houston, and offices in New York, Chicago, Denver, Boston, Austin, and Singapore. We are a science lab spinning trade data in the centrifuge of math and technology to parse financial frontiers and optimize results.

Why you should work with us:

Quantlab is constantly pushing the boundaries of technology, from high performance computing clusters attached to petabytes of storage, to ultra-low latency hardware, to highly optimized operating systems. Our team members enjoy the collaborative and impact-driven atmosphere where passion, innovation, and the scientific process power amazing results. This is just one reason we continue to attract the industry's most enterprising and brightest talent. Our regard for tenacity, humility, and an intrinsic will to win promotes a fast-paced, team-first culture where brilliance is magnified into global leading lights.

Quantlab is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with Quantlab should submit resumes in response to Quantlab's posted positions. All resumes submitted by search firms to Quantlab via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of Quantlab, and no fee will be paid in the event the candidate is hired by Quantlab.

Quantlab is proud to be an equal opportunity employer. We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, genetic information, age, military service, or any other protected characteristic. We celebrate diversity and are committed to creating an inclusive environment for all employees.