Position: Data Operations Engineer (US working hours)
Company: Luxoft
Category: Data Science
Experience required: 3y
English level: upper

Project Description:
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.
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.
Mandatory Skills Description:
- 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 Skills:
- Quantitative Analysis
- Risk Modelling