Data Analyst - Hedge Fund

JR United Kingdom; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading hedge fund in London is seeking a Data Analyst to manage back office pricing and time series data for trading and analysis. The role involves improving data accuracy and collaborating with various departments to ensure compliance and risk management.

Qualifications

• Minimum of 2 years of experience in a similar role at an investment firm.
• Strong academic background in Data, Mathematics, or Statistics.

Responsibilities

• Contribute to evaluating and enhancing processes for data accuracy.
• Engage with users to identify and query financial data.
• Collaborate with offshore Data Operations team.

Skills

Data Analysis

Python

SQL

Data Quality Management

Business Intelligence

Education

BA/BS degree in STEM

Tools

NumPy

pandas

scikit-learn

Unix

Tidal

Airflow

Job description

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A leading hedge fund is seeking to recruit a data analyst responsible for back office pricing and time series data for trading, modelling, and analysis. The analyst will work closely with other departments within Management & Control to ensure accuracy and best practices in security valuation, compliance, and risk management.

Main Responsibilities

1. Contribute to evaluating and enhancing processes and technologies to improve data accuracy, timeliness, and efficiency.
2. Engage regularly with users of financial data to identify, access, and query series of interest within internal databases, including third-party tick databases. Users include Trading, Global Research, Middle Office, Risk, and Compliance.
3. Determine detailed specifications and resource requirements for new projects or data-related production changes, and coordinate prioritization and approval with other groups.
4. Test content for proper QA and review/approve for production release.
5. Evaluate potential data sources and costs/resources when new data services are needed.
6. Collaborate with the offshore Data Operations team to oversee processes, including cross-checking, verifying, and updating security and economic data.
7. Serve as an escalation point for Level II requests from the Data Operations team.

Experience Required

1. A BA/BS degree with a strong academic background in STEM fields, ideally focusing on Data, Mathematics, Statistics, Data Analysis, or other quantitative disciplines.
2. Minimum of 2 years of experience in a similar role at an investment firm or a financial data-related role at another organization (e.g., auditor, data vendor, government agency), with a solid understanding of data quality management, data architecture, and business intelligence.
3. Good understanding of Python, including fundamental knowledge and a willingness to learn, with familiarity with packages such as NumPy, pandas, and scikit-learn.
4. Proficiency in SQL, experience with Unix, and familiarity with scheduling tools like Tidal and Airflow.
5. Good understanding of various asset classes such as Equities, Fixed Income, Derivatives, and Commodities.