MSET QR Client Analytics Role, Manager, Institutional Equity Division

PowerToFly; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Comprehensive employee benefits

Opportunity for career advancement

Job summary

PowerToFly is seeking an experienced professional based in Mumbai to work with global Morgan Stanley Quantitative Research teams. This role involves applying knowledge of algorithmic trading engines, conducting Transaction Cost Analysis, and performing in-depth equity market structure research.

The ideal candidate should possess 4-6 years of experience in equity markets, along with a Bachelor or Master's degree in relevant fields. Proficiency in Python or R and strong analytical skills are essential.

Qualifications

• 4-6 years of experience in the financial sector with focus on equity markets.
• Experience with data analysis and programming languages such as Python or R.
• Ability to communicate effectively with strong analytical skills.

Responsibilities

• Apply knowledge of algorithmic trading to reduce execution slippage.
• Perform in-depth Transaction Cost Analysis (TCA) for enhancing algo performance.
• Conduct equity market structure research for market impact and algorithmic order placement.

Skills

Data analysis at scale

Mathematical programming languages (Python, R)

Communication skills

Data processing pipelines

Education

Bachelor or Master's Degree in Finance, Economics or Mathematics

Tools

KDB+

Linux

Job description

Primary Responsibilities

This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams.

• 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

Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.

• 4-6 years of experience in the financial sector with direct practical experience in equity markets
• Bachelor or Master's Degree in Finance, Economics or Mathematics (including equivalents of CA, CFA, FRM, MMS, MBA). Engineering degree is preferred
• Able to demonstrate practical mastery of data analysis at scale
• Significant experience with mathematical or high-level programming languages such as Python or R
• Exposure/knowledge of different equity and equity derivatives products is desirable
• Strong written and verbal communication skills
• Practical expertise in constructing data processing pipelines and enriched datasets from diverse sources – internal as well as external
• Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions

Complementary Skills

• Experience with Linux, shell scripts and automation via AI
• Understanding of KDB+ or other databases

Benefits & Expectations

At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. We offer some of the most attractive and comprehensive employee benefits and perks in the industry, along with ample opportunity for career advancement.

Equal Opportunity Employer

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.