Institutional Equity, MSET Quantitative Research - Product

935 MS & Co Intl Plc - UK; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Morgan Stanley is seeking a senior Execution and TCA specialist to optimise algorithmic trading strategies in equity markets. You will apply engine knowledge to reduce slippage and perform bespoke TCA analyses for clients, with focus on market structure and routing.

Ideal candidates have 5–7 years in finance, strong programming in Python or R, and a solid data pipelines background. Engineering degree is preferred, and excellent communication skills are essential in a fast‑paced environment.

Qualifications

• Bachelor's or Master's Degree in Finance, Economics, or Mathematics or equivalents (CA/CFA/FRM/MMS/MBA)
• Engineering degree preferred
• Strong data analysis skills and ability to build data processing pipelines

Responsibilities

• Execution Consulting: applying knowledge of algorithmic trading engines to reduce execution slippage
• Perform bespoke, in-depth client Transaction Cost Analysis (TCA) for enhancing algo performance
• Equity market structure research & analysis – deep dives into market impact, dark liquidity, smart order routing & algorithmic order placement

Skills

Python

R

Data analysis

Communication

Linux

Shell scripting

KDB+

Education

Finance/Economics/Mathematics degree

Engineering degree

Tools

KDB+

Databases

Job description

Primary Responsibilities

• Execution Consulting: applying knowledge of algorithmic trading engines to reduce execution slippage
• Perform bespoke, in‑depth client Transaction Cost Analysis (TCA) for enhancing algo performance
• Equity market structure research & analysis – e.g., deep dives into market impact, dark liquidity, smart order routing & algorithmic order placement

Core Requirements

• 5–7 years of experience in the financial sector with direct practical experience in equity markets
• Bachelor's or Master's Degree in Finance, Economics or Mathematics (including equivalents of CA, CFA, FRM, MMS, MBA)
• Engineering degree (preferred)
• Practical mastery of data analysis at scale
• Significant experience in mathematical/high‑level programming languages such as Python or R
• Knowledge of equity and equity derivative products (desirable)
• Strong written and verbal communication skills
• Practical expertise in constructing data processing pipelines and enriched datasets from diverse sources (internal and external)
• Strong analytical and reasoning skills; able to decompose complex problems into manageable pieces and suggest and present solutions
• Experience with Linux, shell scripts and automation (via AI)
• Understanding of KDB+ or other databases

Equal Employment Opportunity

MorganStanleyisanequalopportunityemployercommittedtobuildingandmaintainingaworkforcethatisdiverseinexperienceandbackground.