Senior Data Scientist

Responsibilities

• Onboarding novel datasets from a huge variety of sources into our platform
• Building processes, tools and frameworks to ingest, clean and deliver datasets
• Analyzing data for usability, cleanliness, feature extraction and proposed usage by investment teams
• Creating in-house, value added, derived data products for consumption by investment teams
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Partnering closely with investment teams to ensure their data requirements are met
• Researching on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

Requirements

• PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• 5+ years of experience as a Data Scientist or similar role
• Experience working with large data sets including predictive modeling
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Intellectual curiosity and enthusiasm for learning
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Able to multitask and prioritize assignments
• Commitment to the highest ethical standards

Pay

The annual base salary range for this role is $200,000-$300,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.