Data Scientist
Point72 · New York, United States · 25 mo ago
Engineering$100k–$150k/yrFull-time
Responsibilities
- Onboarding novel datasets from a huge variety of sources into our platform
- Develop, test and deploy data pipelines, applications and services
- Re-shaping, aggregating, enhancing and creating features from datasets
- Engaging with vendors and internal stakeholders to understand characteristics of datasets
- Defining and automating qualitative data alerts and reports
- Partnering closely with investment teams to ensure their data requirements are met
- Perform preliminary analysis and research to be shared with investment teams
Requirements
- 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
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Attention to detail and a love of processes
- Strong oral and written communication skills
- Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
- Able to multitask and prioritize assignments
- Commitment to the highest ethical standards
Pay
The annual base salary range for this role is $100,000-$150,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package.