Data Scientist job at HFR, Inc.

Job Description

Company Description: HFR, Inc. (HFR) was founded in 1992 and specializes in the areas of hedge fund/alternative investment data collection, indexation and statistical analysis. HFR is the global leader for hedge fund benchmark indices.

Responsibilities: Member of the firm’s Index team, responsible for using a variety of advanced data techniques and designing predictive modeling processes to develop new index methodologies and index families.

Duties include:

Research and development of new approaches to index construction and return analysis.
Assist with the construction, engineering and maintenance of portfolios of hedge funds for creation of strategy, sub-strategy, geographic & thematic index products
Gathering, cleaning, and processing raw data
Designing predictive models and machine learning algorithms to mine return data sets
Developing tools and processes to monitor, analyze and improve data accuracy
Building data visualization tools, dashboards, and reports
Writing programs to systemize processes
Assist in the design of quantitative index methodologies
Display skills to work both independently and within team oriented environment, efficiently completing work on deadlines and effectively incorporating feedback on results.

Qualifications Required:

Degree in math, statistics, computer science or other quantitative discipline
Experience in data science or other data analytics role
Strong programming skills and experience with Python, R language
Proficient with Hadoop, MySQL, Tensorflow, Spark
Machine learning, other data modeling skills
Self-confident, adaptable, and team oriented
Ability to take direction, multi task and meet deadlines
Ability to work in a fast paced environment
Solid written and oral communications skills
Solid organizational skills with a strong attention to detail

HFR, Inc. is an equal opportunity employer

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