VP, Institutional Equity Quant & Automation

Morgan-Stanley; Greater London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Flexible working arrangements

Equal opportunity employer

Job summary

Morgan Stanley is seeking a Quant Strat within its Institutional Equity Division to lead data-driven analyses of market data and trader portfolios, and to automate quantitative methods across diverse datasets. You will work on P&L explanations and data pipelines, collaborating with traders and engineers to enhance decision making.

Ideal candidates have strong Python/R skills, finance experience, and a degree in finance, economics, or mathematics, with a preference for engineering backgrounds.

Qualifications

• Significant experience in Python or R for quantitative analysis in finance.
• Experience with data analysis at scale in a financial context.
• Strong mathematical and analytical background and ability to decompose complex problems.

Responsibilities

• Lead analysis of market data and vendor data to identify correlations and nuances.
• Explain trader P&L and automate quantitative methods.
• Build data handling pipelines from diverse data sources across the firm.

Skills

Python

R

Data analysis at scale

Communication skills

Problem decomposition

Education

Bachelor's degree in Finance, Economics or Mathematics

Master's degree in Finance, Economics or Mathematics

Engineering degree preferred

CA, CFA, FRM, MMS, MBA equivalents

Tools

KDB+

Sybase

SQL Server

Linux

Shell scripting

Job description

Morgan Stanley is seeking a Quant Strat within its Institutional Equity Division to lead data-driven analyses of market data and trader portfolios, and to automate quantitative methods across diverse datasets. You will work on P&L explanations and data pipelines, collaborating with traders and engineers to enhance decision making.

Ideal candidates have strong Python/R skills, finance experience, and a degree in finance, economics, or mathematics, with a preference for engineering backgrounds.