Summary
Join the Equity Factor Risk Model Research Technology Team at Millennium to design and develop equity portfolio analytics framework.
Requirements
- Candidates must have a minimum of 5 years of software development experience in finance or top-tier technology companies
- Broad understanding of equities markets and portfolio construction
- Strong working knowledge of software design including algorithms and object oriented design
- Strong working knowledge of statistics
- Advanced R and Python programming (must have 5+ years of professional development experience on topics like OOP etc.). Experience in R programming language is strongly preferred
- Must have hands-on experience in scaling R to Big Data
- Advanced working knowledge of SQL ; minimum 5+ years of professional development experience
- Experience developing solutions in ‘big data’ analytics engines (particularly Apache Spark)
- Strong communication skills required as this role involved direct communication with risk management and trading
- A successful candidate will be detail oriented, a quick learner and able to adapt to a dynamic high paced environment
- Applicant should have a demonstrated track record of success in challenging environments
- Good team player with a strong willingness to participate and help others
Responsibilities
- Build expertise in Barra and proprietary factor risk models
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc
- Work with portfolio research team on the development and integration of new analytics models into the firm’s delivery platforms
- Perform extensive back-testing of existing and new risk factor models
- Support and run processes for risk management and equity portfolio research
