Quant Engineer Analyst

Northen Trust is hiring for the role of  Quant Engineer Analyst!

Responsibilities of the Candidate:

• 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.

Requirements:

• 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).
• 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.