Senior Quantitative Researcher

JR United Kingdom; Slough; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading hedge fund in the UK is seeking a quantitative researcher to manage the research process, including data analysis and alpha signal discovery. Candidates should have 2+ years of research experience in equities and hold a Ph.D. or M.S. in a quantitative discipline. Proficiency in programming languages like Python, C++, or R is required. This role offers an opportunity to work at the intersection of finance and systematic trading strategies.

Qualifications

• 2+ years of research experience in Equities.
• Ability to learn and apply new methodologies to alpha generation.
• Ability to work both independently and collaboratively within a team.

Responsibilities

• Manage the research process including data analysis and trading.
• Evaluate new datasets for alpha potential.
• Analyze and improve upon the latest academic research.

Skills

Data analysis

Alpha signal discovery

Backtesting

Programming in Python

Programming in C++

Programming in R

Education

Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research

Job description

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My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access to a wide range of publicly available data sources. They are seeking a researcher with a background in alpha research.

Responsibilities

• Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading, idea generation, alpha signal/portfolio analysis and the management of production code
• Evaluate new datasets for alpha potential
• Follow, digest, analyze and improve upon the latest academic research
• 2+ years of research experience in Equities.
• Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline.
• Programming in any of the following: Python, C++, or R.
• Demonstrated ability to learn and apply new methodologies to alpha generation.
• Ability to work both independently and collaboratively within a team.