
Data Scientist / Analyst - Systematic Data Platform
at Millennium
Posted 18 hours ago
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Join our systematic data group as a Data Scientist/Analyst to help build a world-class systematic data platform powering next-generation portfolio engines. You will work with content specialists, data scientists, analysts and engineers to discover, maintain and analyze alpha sources for portfolio managers. The role emphasizes four pillars of quantitative investing: data, statistics, technology and financial markets, and involves researching alpha sources, building data processing tools, tagging datasets, and collaborating with vendors and portfolio managers to maximize profitability.
We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines.
The systematic data group is looking for Data Scientists & Analysts to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers.
This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual’s knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.
Principal Responsibilities
- Research potential alpha sources, and present to portfolio managers and quantitative analysts
- Utilize and maintain world-class data processing and transformation engines
- Build technology tools to acquire and tag datasets
- Engage with vendors, brokers to understand characteristics of datasets
- Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability
- Analyze datasets to generate key descriptive statistics
Qualifications/Skills Required
- Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis
- 3 + years of financial industry experience preferred
- Programming expertise in Python, C++, Java or C#
- Programming skills in SQL, PL-SQL or T-SQL
- Strong problem-solving skills
- Strong communication skills

