Role - Data Engineer (Capital Markets / Financial Services)
Location: NYC – (4 days a week on-site)
Green Card and USC is a must due to US FHFA regulations that this company follows.
- Must possess a STRONG Capital Markets or similar financial background with Fixed Income, Bonds, swaps, etc, supporting a large data warehouse and provide Python tools within this team.
- You must have a strong demonstrated experience with supporting and implementing tools within the data infrastructure.
- The ideal candidate will be responsible for designing and implementing a robust data infrastructure and analytical toolset to support Balance Sheet management and optimization activities of the Capital Markets group.
- This role is ideal for someone passionate about leveraging data to drive high-impact business decisions.
Technical Expertise
- Advanced Proficiency in SQL and Python are essential. Proven track record of deploying and managing python codebase in a production setting.
- Experience with Data Warehousing Solutions: Proven experience with Snowflake or similar platforms.
- Data Visualization Tools: Proficiency in using tools like Plotly, QlikSense, Tableau for data visualization.
- Working knowledge of a Git repository for version control and collaborative development
Data Engineering Skills
- Data Processing: Experience in handling, processing, and extracting value from large, disconnected datasets.
- Data Pipeline Development: Skilled in designing and implementing data pipelines for efficient data flow.
Quantitative Skills
- Statistical and Mathematical Methods: Familiarity with PCA, linear regression, logistic regression, KNN algorithm, and Monte Carlo simulations.
Analytical Abilities
- Capability to analyze complex sets of data and provide actionable insights.
- Experience in building high impact analytical tools.
Collaborative Skills
- Experience working closely with various groups across an organization.
- Excellent communication skills for effective cross-team collaboration.
At least 3 years of relevant experience in a similar role