Senior Quantitative Researcher

JR United Kingdom; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading quantitative hedge fund in London seeks a researcher specializing in alpha research. Responsibilities include conducting quantitative research, managing the research process, and evaluating datasets. Ideal candidates will have 2+ years in Equities and hold a Ph.D. or M.S. in a quantitative discipline, with programming skills in Python, C++, or R. The position offers a dynamic research environment and collaboration within a team.

Qualifications

• 2+ years of research experience in Equities.
• Demonstrated ability to learn and apply new methodologies.
• Ability to work independently and collaboratively.

Responsibilities

• Conduct original quantitative alpha signal research.
• Manage all aspects of the research process including data analysis.
• Evaluate new datasets for alpha potential.

Skills

Quantitative research

Data analysis

Programming in Python

Programming in C++

Programming in R

Alpha signal generation

Education

Ph.D. or M.S. in quantitative discipline

Job description

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, fueled 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

1. Conduct original quantitative alpha signal research
2. 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
3. Evaluate new datasets for alpha potential
4. Follow, digest, analyze, and improve upon the latest academic research

Desirable Candidates

1. 2+ years of research experience in Equities
2. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline
3. Programming in Python, C++, or R
4. Demonstrated ability to learn and apply new methodologies to alpha generation
5. Ability to work both independently and collaboratively within a team