Quantitative Researcher

7 days ago


Berkeley, California, United States Penn Foster Full time

**About Us**

Voleon Group is a pioneering technology company at the forefront of applying state-of-the-art machine learning techniques to real-world problems in finance. For over a decade, we have led our industry and worked at the cutting edge of applying machine learning to investment management.

We have become a multibillion-dollar asset manager, with ambitious goals for the future. Our team includes internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals from diverse backgrounds.

In addition to our enriching and collegial working environment, we offer highly competitive compensation packages, including a base salary range of $150,000 to $190,000, medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

**Job Description**

We are seeking a talented Quantitative Researcher to join our team in advancing our data-driven investment initiatives. As a Data Scientist, you will be responsible for extracting insights from complex data sets, designing systems to ensure data correctness, monitoring data health, and communicating findings to stakeholders.

Your key responsibilities will include:

  • Designing and implementing systems to monitor data health and ensure data correctness in data stores and live feeds.
  • Proactively identifying abnormal production behavior and communicating it clearly to relevant stakeholders.
  • Performing extemporaneous analyses on research and production trading systems with leadership.
  • Harnessing financial expertise and statistical analysis to gain actionable insights into our production trading and research systems.

Requirements

  • 1+ years of experience working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization.
  • Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions.
  • Ability to frame and answer questions mathematically and infer useful forward-looking directions from results of retrospective analysis.
  • Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R.
  • Basic software development skills and experience with bash, linux/unix, and git.

Preferred Qualifications

  • Master's degree in a quantitative discipline.
  • Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships.

About Voleon Group

Voleon Group is an Equal Opportunity employer. We welcome applicants without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by law.



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