Senior Quantitative Engineer
Northern Trust (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 40–75 LPA
Posted 0m ago
Reach people at Northern Trust
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Northern Trust you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own analysis, design, and development of a Quant platform for Equity and Fixed Income research and trade generation.
- Lead Agile development team members, provide technical guidance, and ensure code quality and adherence to standards.
- Innovate and improve proprietary quantitative models and convert legacy excel models to modern tech stacks focusing on stability, scalability, and user experience.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or Information Technology.
- 12+ years of progressive experience in software engineering and quantitative analysis.
- Expertise in Python and PySpark is mandatory, along with strong analytical skills and experience with big data cloud platforms like Databricks.
- Strong domain skills in Quantitative Research, Statistics, Risk, and Equity Portfolio Management; solid understanding of tradable financial instruments and capital markets.
Ideal Candidate Profile
- Experienced in front office software development within Asset Management, Hedge Funds, or Investment Banking environments.
- Proficient in multiple programming languages including Python, PySpark, R, and Java, with a strong focus on test-driven development.
- Skilled at building scalable, resilient, and high-quality quantitative models and algorithms, including converting prototypes to production-level solutions.