Position Details
About this role
This role involves designing and supporting enterprise quantitative models, analyzing financial data, and developing data-driven solutions to support risk and research divisions within a financial institution.
Key Responsibilities
- Perform data exploration
- Build financial data models
- Develop ETL applications
- Visualize data insights
- Support quantitative research
Technical Overview
The position requires expertise in data science tools such as Python, R, MATLAB, C++, Java, and SQL databases, with a focus on financial data analysis and modeling.
Ideal Candidate
The ideal candidate is a detail-oriented data scientist with experience in financial data modeling, statistical analysis, and proficiency in Python, SQL, and data visualization tools. Experience with quantitative finance and large data sets is preferred.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with financial data models, Inability to work with large datasets, No proficiency in Python or SQL
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile