Cross Asset Specialist

Eka Finance; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

Eka Finance, a London-based asset management company, is hiring a Cross Asset Quant Systematic Researcher to enhance its quantitative research team. The role involves researching trading strategies across diverse asset classes while leveraging data science expertise. Candidates should have 3-4 years of relevant experience, strong coding skills, and ideally a Master's or PhD in a relevant field.

Qualifications

• 3-4 years of relevant experience in financial markets or macroeconomics.
• Strong practical data analysis skills.
• Experience presenting research to institutional investors is a plus.

Responsibilities

• Research and monitor quantitative trading strategies and performance analysis.
• Conduct data requests for clients and assist with marketing.
• Involve structured back-testing and implementation of trading strategies.

Skills

Data analysis

Coding in R

Coding in Python

Education

Masters or PhD in Economics

Masters or PhD in Econometrics

Masters or PhD in Data Science

Job description

Asset Manager Hiring Cross Asset Quant Systematic Researcher / London

London-based asset management company is looking to add a quantitative analyst to their research team as they expand.

They specialize in systematic quantitative macro investing and manage systematic equity and global multi-asset strategies.

Role:

Your responsibilities will include researching quantitative trading strategies, monitoring live trading of models, and conducting performance analysis. You will be involved in data requests for clients and marketing, monitor models, provide information on live trading decisions and performance to senior quants, and research and identify alternative datasets to develop new systematic strategies, including back-testing and implementation.

Requirements:

• Experience with multiple asset classes is preferred; this role suits candidates excited about diverse asset classes and facets of the job.
• Three to four years of relevant experience in financial markets or macroeconomics from a data science perspective.
• Coding skills in R or Python.
• Strong practical data analysis skills.
• Experience presenting or marketing research to institutional investors is a plus.
• Masters or PhD in Economics, Econometrics, or Data Science is preferred.

This is a culture where employees work long-term and thrive.

Application:

Please send your PDF resume to Tina Kaul at [e-mail].

Eka Finance is a leading global quantitative finance recruitment consultancy in banking and finance industries, offering front-office recruitment services.