Equity Quant Researcher/quantitative Analyst - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Role

They are seeking a world-class quantitative analyst with between 2 and 7 years experience who is passionate about trading strategies, data analysis and equity markets.

The role of the Research Team is to perform empirical research covering all design aspects of the investment process, e.g.

alpha, alpha combination, risk modelling, transaction cost modelling, portfolio construction. The team collaborates closely with Front-OfficeTechnology and Trading Teams regarding implementation and execution of trading strategies.

Key Responsibilities

Conducting the research on R&D projects across the whole scope of systematic quant strategies, in data gathering and processing, alpha signals, risk, portfolio construction and execution;
Participating in the more general duties of the research team such as assisting with the monitoring of our

production processes;

Participating and animating seminars on relevant research topics, ensuring dissemination of knowledge and best practices across the team;

- ?Managing all aspects of the research process, including methodology selection, data collection and analysis, prototyping, back-testing and performance monitoring

Improvement of existing strategies
Portfolio optimization
Evaluating new datasets for alpha potential
Work closely with other members of the research team to develop, improve, and backtest trading strategies among other aspects of the program;
Participate to the collaborative life of the research team.

Experience, Knowledge & Skills

Essential

Trackrecord of performing fastpaced and successful quantitative research;
Proficiency in coding, with experience using a statistical computing language (e.g. Python, Matlab);
Handson experience working in a datadriven environment; and
Strong understanding of practical issues related to portfolio construction and alpha combination.
Beneficial
Use unconventional data sources to drive innovation; and
Scripting and scraping experience a plus but not required.

Educational & Professional Qualifications

Two years or more in a quantitative research or trading role in a toptier investment firm;
Educated to Masters (or equivalent advanced degree) level or higher, from a leading university; and