Institutional Equity, MSET Quantitative Research - Product

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

• 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

Morgan Stanleyisanequalopportunityemployercommittedtobuildingandmaintainingaworkforcethatisdiverseinexperienceandbackground.