Data Operations Engineer

We are looking for a Data Operations Engineer for the Risk Technology team of a Hedge Fund.

You will provide data support and related application support for Risk Management and Quantitative Research team.

📍Requirements:

· Tolerance to work in late shift

· Education/training in computer science, math, physics or related technical field

· Prior development or support experience in a quantitative environment with statistic models, non-linear aggregations, and/or multi-layer of data dependencies.

· An interest and passion in the understanding of financial markets and instruments.

· Strong troubleshooting, coordination, and problem-solving skills

· Strong written and verbal communication skills

· Team player

· Nice to have

· Quantitative Analysis

· Risk Modelling

· English: B2 Upper Intermediate

✨ Responsibilities:

· Learn, support, and improve a variety of risk management systems, valuation engines, aggregation framework and data pipelines.

· Develop a quantitative understanding of reference data, market data, model data, risk exposures and portfolio analytics etc.

· Manage users on-boarding, off-boarding, data flow changes and promptly respond to user inquiries.

· Configure account and instrument setup, based on which to run processes and populate analytics.

·  Monitor data accuracy and completeness

· Troubleshoot and fix issues in complex and sophisticated data system.

· Innovate and improve processes and tool set to automate repetitive work and increase efficiency.

· Collaborate closely with developers, risk analysts and risk manager to solve issues, prevent issues, and improve the risk data platform.

· Coordinate with other technology and business teams on production issues and high impact changes.

· Proactively communicate potential problems, jump on issues, engage relevant parties, and follow through with root cause analysis.

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