Data Analyst - Hedge Fund

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

Job summary

A leading hedge fund is recruiting a data analyst for back office pricing and time series data analysis. The successful candidate will enhance data processes, engage with various financial departments, and require a strong background in STEM with proficiency in Python and SQL. This role demands collaboration across teams to ensure data quality and compliance in a fast-paced investment environment.

Qualifications

• Minimum of 2 years of experience in a similar role at an investment firm or a financial data-related role.
• Strong knowledge in data analysis and familiarity with asset classes.
• Good understanding of data management and willingness to learn Python.

Responsibilities

• Enhance processes and technologies for data accuracy and efficiency.
• Engage with financial data users to manage series of interest.
• Coordinate specifications for new projects or data-related changes.

Skills

Data Quality Management

Data Architecture

Business Intelligence

Python

SQL

Unix

Data Analysis

Education

BA/BS degree in STEM

Tools

NumPy

pandas

scikit-learn

Tidal

Airflow

Job description

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A leading hedge fund wish to recruit a data analyst who will be responsible for back office pricing as well as time series data for trading/modelling/analysis whilst working closely with other departments within Management & Control to ensure the accuracy and best practices in security valuation, compliance and risk management.

Main Responsibilities

• Contribute to the evaluation and enhancement of processes and technologies to improve data accuracy, timeliness, and efficiency.
• Engage regularly with users of financial data to identify, access, and query series of interest within internal databases, including a third-party tick database. These users include, but are not limited to, Trading, Global Research, Middle Office, Risk and Compliance.
• For new projects or data-related production changes determine detailed specifications and resource requirements and coordinate prioritization and approval with other groups.
• Test content for proper QA and review/approve for production release.
• When new data services are needed evaluate potential data sources and cost/resources.
• Collaborate with our offshore Data Operations team to oversee their processes, including cross-checking, verifying, and updating security and economic data.
• Serve as an escalation point for Level II requests from this team

Experience Required

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