Position / Group description:
Innovation Hub:
Jefferies is creating a Technology Innovation Hub in Pune, a greenfield opportunity to build the systems that power global markets. As our first India technology center, this hub brings together hands on builders who engineer the platforms behind Jefferies’ growth across capital markets, investment banking, and institutional securities. We’re scaling toward an elite team of 500 engineers while maintaining the agility, ownership, and meritocratic spirit that defines Jefferies. From cloud and data to AI, risk, and core business technologies, teams in Pune will lead high impact work with a global mandate.
IT Risk Technology:
Risk Technology is a global, cross functional team responsible for enterprise risk platforms at Jefferies. The team works closely with Risk Management and Trading to identify, measure, and manage risk across the firm. It designs, implements, and supports largescale, data intensive systems that facilitate risk data management, advanced analytics, visualization, analysis, and reporting across various asset classes.
The India Risk Technology team is a strategic part of the global organization. Team members in India participate in the full lifecycle of the risk platform development — from design and engineering through enhancement and support — and take ownership of critical systems used by risk managers and senior leadership worldwide.
As Jefferies continues to modernize and expand its risk ecosystem, Risk Technology is building the next generation risk platform using cloud native architectures, distributed compute, containers, modern data platforms, advanced BI, and applied AI. Risk Technology plays a critical role in enabling informed decision making, strengthening firmwide controls, and supporting sustainable growth in an increasingly complex and dynamic market environment.
Job Description:
We are seeking a hands‑on Developer to build and operate risk dashboards and reports leveraging Astrato’s direct-query connection to a Snowflake database containing all required risk and static data needed to produce the firm’s risk. The ideal candidate brings deep knowledge of data modeling and business intelligence fundamentals & concepts , and can optimize performance, reliability, and compute costs.
Primary Responsibilities:
Essential Experience/ Skills:
Personal Attributes:
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