Data Engineer

Jain Global LLC; Harrow; On-site; GBP 50,000 - 70,000; Full time

Job summary

An innovative investment firm in Harrow is seeking a mid-senior Data Analyst/Engineer to enhance data products and manage data quality. The ideal candidate has a strong background in Python and SQL, with experience in the financial industry, ideally in hedge funds. The role involves collaborating with stakeholders and mentoring junior analysts to support data-driven investment strategies.

Qualifications

• 3+ years financial industry experience in Front Office/Quant/PM desk.
• Expert level data analysis skills in Python.
• Familiarity with Linux environments and git.

Responsibilities

• Curate customer-centric data products and enhance data value.
• Implement automated Data Quality checks.
• Manage relationships with data vendors.

Skills

Data analysis skills in Python

Advanced SQL skills

Communication skills

Knowledge of financial data

Education

BSc/MSc/PhD in Computer Science, Physics, Engineering or similar

Tools

Pandas

SQL technologies (e.g. Snowflake, Redshift)

Airflow

Job description

Job Title: Data Analyst/Engineer

Company: Jain Global, LLC

Location: Harrow, England, United Kingdom

Job Description

Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain. With over 400 employees operating from offices in New York, Houston, London, Singapore, and Hong Kong, we are looking to add to our growing teams.

Role Overview

As a scientifically minded Data Analyst/Engineer, you will be a member of the team responsible for delivering the data that enables the growing number of portfolio managers to research, test, execute and manage their investment strategies with ease and confidence, which is crucial to the firm’s success and growth. You will source, analyze, clean and curate vendor datasets and integrate them seamlessly with other datasets in the Data Platform to increase data’s business value, including value through platform effects.

Responsibilities

• Curate customer‑centric data products: collaborate with customers to understand their specific needs across trading, cross‑referencing market & alternative data, aggregation of fungible assets, researching & backtesting strategies. Source the relevant data, analyze, clean and enrich it at the pace demanded by hedge fund operations. Iterate with the customers to increase the data’s value and collaborate with the Data Platform team to maximize platform effects and the utility for the entire firm.
• Implement automated Data Quality checks to guarantee high quality that increases raw data’s value. Automate monitoring and alerting to ensure any issues are dealt with immediately with minimal business impact.
• Interact with data vendors: manage data vendor relationships to understand the nuances of their data products and how we can extract maximum value from their data.
• Role‑model continuous improvement: maintain high standards of analytical excellence, ownership and customer care. Mentor junior analysts and help hire new talent. Streamline workflows, improve data quality, and efficiency to support faster insights and improved decision‑making.

Qualifications & Experience

• BSc/MSc/PhD in Computer Science, Physics, Engineering or similar and 3+ years financial industry experience in Front Office / Quant / organizations or on a PM desk, preferably with some time spent in a hedge fund.
• Technical
  • Expert level data analysis / science skills in Python and familiarity with Pandas/Polars/Snowpark data frames. Experience in other languages such as C#, F#, C++ or Java is a plus.
  • Advanced SQL skills are needed. Experience with modern data storage & querying technologies (e.g. Snowflake, Redshift, BigQuery) and/or file formats (e.g. Parquet and Iceberg) is desirable.
  • Familiarity with Linux environments, git and modern DevOps approach.
  • Demonstrated experience in test automation to maintain high standards and a fast rate of change with confidence.
  • Familiarity with monitoring production systems using modern observability & alerting solutions (e.g. Grafana/Prometheus, DataDog, ELK) is desirable.
  • Hands‑on experience with data pipeline orchestration tools, e.g. Airflow, and data download mechanisms, e.g. sFTP, various vendor APIs is helpful.
  • Financial Data: Deep understanding of market and reference data, ideally across a broad range of asset classes, but at least Equity identifiers and Corporate Action datasets. Clear understanding of how data adds value to a hedge fund’s business, and how that value can be increased.
• Soft Skills: Effective communication skills with Front Office stakeholders and Tech colleagues, curiosity, a scientific and collaborative mindset, ability to produce in an agile environment.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

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