VP Quantitative Strategist, Algo R&D — Execution Leader

WeAreTechWomen; Greater London; On-site; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Diversity and inclusion initiatives

Professional development opportunities

Wellness programs

Job summary

A leading global investment firm seeks an experienced individual for their Algo R&D team based in London. The role involves enhancing execution algorithms and conducting quantitative research. Candidates should have at least 5 years of relevant experience and an advanced degree in a quantitative discipline such as Mathematics or Statistics. Strong skills in statistical modelling and familiarity with Python are essential. This position offers the opportunity to work with cutting-edge technology and collaborate with experts in the field.

Qualifications

• 5+ years of experience in quantitative research related to execution algorithms.
• Deep understanding of market microstructure concepts.
• Proven experience with statistical modelling and machine learning.

Responsibilities

• Enhance execution algorithms for cash equities.
• Conduct rigorous quantitative research on market dynamics.
• Build statistical and machine learning models for price prediction.

Skills

Quantitative research

Market microstructure

Statistical modelling

Machine learning

Communication skills

Education

Advanced degree (Master's or PhD) in Mathematics, Statistics, Physics, Computer Science, Financial Engineering

Tools

Python

Kdb+/q

Job description

A leading global investment firm seeks an experienced individual for their Algo R&D team based in London. The role involves enhancing execution algorithms and conducting quantitative research. Candidates should have at least 5 years of relevant experience and an advanced degree in a quantitative discipline such as Mathematics or Statistics. Strong skills in statistical modelling and familiarity with Python are essential. This position offers the opportunity to work with cutting-edge technology and collaborate with experts in the field.