Data Operations Specialist

Our Partner offers future-proof quant technologies to global investors. Cloud-hosted and Python-based, the platform integrates a next-gen backtest engine and analytics with curated datasets covering equities, rates, FX, commodities and volatility. Our Partner eliminates the expensive upfront costs of infrastructure build-out, giving clients an edge in alpha generation from day one. 

We are an 8-year-old rapidly growing IT and services firm with offices in the United Kingdom and the United States. Investors with a combined AUM of $5 trillion are using Our Partner. We're launching our operations in Bangalore, and we're looking for people who are highly talented, competent and committed to our needs.

As a Data Operations Specialist, you will be working alongside the data engineering team in London to ensure that proper monitoring, alerting, and tracking of data pipelines are in place. Day-to-day activities will include identifying root causes for data quality errors using Our Partner’s internal data verification engine, remediating according to the defined procedures, and making recommendations for long-term mitigating solutions.

Role and Responsibilities

• Identify, assess, monitor, document, and disclose any potential data quality issues in the collection, storage, processing, or use of data.
• Monitor data pipelines within Our Partner’s data lake.
• Perform data validation checks for historical and live financial data using Our Partner’s data validation engine.
• Should be able to write clear and simple instructions to document data operation and monitoring solutions.
• Create and codify data quality criteria using Our Partner's data verification engine.

Key Requirements for this Role

• 1+ years experience in data quality, systems analyst, or data-focused role.
• Experience in developing and following policies and procedures relating to data and quality improvement.
• Prior work experience in financial ( data) companies is an added advantage.
• Low code programming experience, e.g. basic python is a major plus.
• Financial data experience (e.g. futures, single stocks, bonds, fx, indices) is desirable.
• Excellent written and verbal English communication.
• Able to operate within a continuously evolving and competitive business environment by learning and adopting new technologies.
• Good organizational skills with the ability to work independently.