VP, Institutional Equity Quant & Automation

Morgan-Stanley; Greater London; Hybride; GBP 120 000 - 190 000; Plein temps

Avantages offerts par ce poste

Flexible working arrangements

Equal opportunity employer

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

R

Data analysis at scale

Communication skills

Problem decomposition

Formation

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

Outils

KDB+

Sybase

SQL Server

Linux

Shell scripting

Description du poste

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.