Quant Engineer Analyst

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Summary:

The Global Trading team is seeking to enhance its trading analytics and execution research capabilities by adding a partner focused on developing scalable, data-driven solutions to support the trading desk. This role will concentrate on transaction cost analysis (TCA), broker performance evaluation, market microstructure research and other data analytics to improve execution quality and trading outcomes.

The ideal candidate will combine strong technical expertise with practical market insight to translate complex trading data into actionable intelligence. This individual will work closely with traders to deliver a real-time trading research dashboard/platform, optimize execution strategies, and analyze routing decisions.

This role is central to advancing trading performance by embedding rigorous analytics into the trading workflow and driving continuous improvement in trading efficiency and decision-making.

Major Responsibilities:

• Collaborate with the Global Trading team to develop and maintain TCA (trading cost analysis) frameworks across fixed income and equity products, analyze the execution cost drivers (spread capture, slippage, markouts, decay) and provide real-time visual tools to assist traders in decision making responsibilities.
• Improve quantitative scorecards to evaluate broker performance across dimensions such as pricing quality, hit ratios, liquidity provision, responsiveness, and consistency; partnering with the desk to inform routing decisions.
• Conduct research on market microstructure, liquidity dynamics, and trading protocols to improve execution outcomes across fixed income and equity products.
• Leverage understanding of investment workflows to design tools that support alpha generation, risk management, and trading optimization.
• Aggregate and normalize large-scale execution datasets (Evaluated pricing models, TRACE, OMS/EMS data, dealer runs) into scalable pipelines for ongoing analytics and reporting.
• Partner with traders to analyze specific trading themes (liquidity events, new issue pricing, secondary dislocations) and quantify impact on execution and PnL.
• Identify innovative solutions to complex problems and advocate for their implementation by communicating ideas clearly and concisely.
• Partner with cross-functional teams to understand business priorities and ensure analytics solutions are aligned with organizational goals.
• Work within established guidelines and policies.
• Engage with internal stakeholders to gather business requirements and provide timely updates on progress.

Knowledge/Skills:

• Experience in platform development and analytics, preferably in financial services.
• Understanding of Data Analytics, APIs, and Cloud Infrastructure.
• Solid grasp of Asset Classes, Investment Strategies, Portfolio Construction, and Analytical Tools.
• Strong written and verbal communication skills.
• Demonstrated ability to connect technical solutions with business outcomes in the context of quantitative investing.
• Ability to build relationships and collaborate with portfolio managers, research, investment, sales and servicing, sustainable investing, and product teams.
• Familiarity with performance attribution, factor modeling, and risk analytics frameworks.
• Knowledge of object-oriented programming (Python or equivalent preferred).

Experience Required:

• 0–4 years of experience in quantitative analytics, data engineering, or financial modeling.
• Proficiency in SQL & React. Python experience would be helpful as well. Experience with tools such as Azure Cloud , Snowflake or Streamlit.
• Solid understanding of asset classes, portfolio theory, and investment strategies.
• Strong business acumen with the ability to align analytics with investment goals and client needs.
• Excellent problem-solving and communication skills.
• Bachelor’s degree in a quantitative field (e.g., Engineering, Mathematics, Finance); CFA or progress toward CFA is a plus.

Working with Us

As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.

Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.

Reasonable Accommodation

Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at [email protected], or alternatively you can discuss your individual requirements with the recruiter you are working with.

About Our Bangalore Office

The Northern Trust Bangalore office, established in 2005, is home to over 5,600 employees.  In this stunning office space, we offer fantastic amenities which include our Arrival Hub - Jungle, the GameZone, and the Employee Experience Zone that appeal to both clients and employees. Learn more.