Data Scientist

We are looking for an extremely talented Data Scientist to join one of it's equities investment teams in New York. The successful candidate will combine strong technical skills, financial insights and statistical techniques to explore, analyze, and harness a large variety of structured and unstructured datasets, in order to build data-centric solutions which give teams an edge in their investment process. The candidate must possess the communications skills needed to not only explain statistical and technical techniques in clear simple language, but to also listen and understand problems as explained by investment teams in their vernacular.

Principal Responsibilities

• Analyze, manage, and store vast amounts of datasets from market to alternative data vendors
• Back test datasets to assess their correlation to company KPIs
• Work alongside the Portfolio Manager and Investment Analysts to develop data insights that lead to actionable investment outcomes
• Evaluate and understand company and industry specific items (debit/credit mix, geographic mix, private label credit cards, calendar shifts) to improve the quality and accuracy of data insights
• Work with investment team to develop methods of forecasting data sets to improve the quality and accuracy of data insights
• Provide real-time updates to the team as major macroeconomic and microeconomic data is released (Census Retail Sales, CPI, etc.)
• Mine new alternative datasets to uncover signals and determine value
• Write code to tag, clean, and normalize large unstructured and structured datasets
• Work alongside the data sourcing team to identify new potential data products and vendors
• Develop data analysis tooling and libraries alongside the rest of the data science team
• Construct visualization dashboards to present key insights

Qualifications/Skills Required

• BS, MS, or PhD degree in Statistics, Computer Science, Applied Mathematics, or related field.
• At least 2+ years of working experience within financial data science
• At least 2+ years of programming experience in Python
• Excellent communicator
• Proficient in writing SQL queries
• Hands on experience with ETL processes
• Experience in company fundamental financial metrics (e.g. revenue, cash flow, margin, etc.)