Software Engineer - Systematic Data Platform

Millennium Management; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a passionate Data Engineer/Scientist to enhance their Systematic Volatility business. This role offers a unique opportunity to work with a dynamic team of specialists focused on quantitative investing, leveraging data to empower portfolio managers in making informed investment decisions. The ideal candidate will possess strong technical skills, a deep understanding of financial markets, and a collaborative spirit. Join a forward-thinking company where your contributions will directly impact investment strategies and drive success in a fast-paced environment.

Qualifications

• 5+ years of experience in finance or finance technology, preferably buyside.
• Strong technical skills in production coding and object-oriented programming.

Responsibilities

• Build systematic options platform for data analysis and research.
• Support quantitative researchers and portfolio managers with data.

Skills

Production coding on Linux

Quantitative finance

Object-oriented programming

Strong communication skills

Experience with options trading

Intellectual curiosity

Education

Master's degree in quantitative finance

Master's degree in engineering

Master's degree in computer science

Tools

SQL

KDB

Apache Iceberg

Lake Formation

Job description

Volatility Data Engineer - Systematic Data Platform

The systematic data group is looking for a Data Engineer/Scientist to join our growing team. The team consists of content specialists, data scientists, analysts, and engineers who are responsible for discovering, maintaining, and analyzing sources of alpha for our portfolio managers. This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual’s knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Given the growing success of our Systematic Volatility business, the ideal candidate will leverage options, reference, exchange, and TIQ-level data sets to arm Portfolio Managers with the necessary information to make better real-time investment decisions.

Responsibilities

• Build systematic options platform for reference data, pricing data, data analysis, and data research.
• Work closely with data scientists/analysts for the end-to-end life cycle of data.
• Support quantitative researchers/portfolio managers on data used for signal generation, back testing, and trading.

Qualifications

• Strong technical skills with experience in production coding on Linux.
• At least 5 years of experience in finance, finance technology, or comparable industry – buyside experience preferred.
• Master's degree or higher in fields such as quantitative finance, engineering, computer science or equivalent.
• Proficient in computer science fundamentals and object-oriented programming using Python, C++, or Java.
• Self-driven, eager to learn about technology and financial markets, and able to pick up things quickly.
• Experience with databases/SQL and basic understanding of financial products.
• Hard-working, intellectually curious, and team-oriented.
• Strong communication skills.
• Experience with options trading or options data is a strong plus.
• Experience with technologies like KDB, Apache Iceberg, and Lake Formation will be a meaningful differentiator.