Data Engineer - Market Risk Analytics
Why This Role Stands Out
As a Data Engineer on the Market Risk Analytics team at Covetus, you'll tackle complex data challenges and contribute to cutting-edge AI-driven solutions within the financial sector. This role is perfect for a skilled engineer with a passion for problem-solving and a desire to grow their expertise in high-performance databases and advanced analytics. Apply today to join a dynamic team and make a significant impact!
Quick Overview
Job Description
Job Title: Principal Data Engineer - Market Risk Analytics Location: Jersey City, NJ (Hybrid, 2-3 days onsite in a week) Duration: Fulltime
Job Description:
Proven experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
Strong programming skills in Python, Java and/or Scala, and expert-level SQL.
Strong background in fundamental computer science concepts, including data structures and algorithms.
A mindset for 'AI-first' development, constantly looking for ways to embed intelligence into systems.
Experience or a strong interest in applying Natural Language Processing (NLP) to data access and analytics.
A knack for solving 'needle in a haystack' problems, with a talent for debugging complex data and access issues.
Experience in the financial industry with an understanding of market risk, derivatives, and risk calculations (VaR, Stress Testing, PV) is highly desirable.
Skills
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