Sr. Product Specialist, Analytics & Machine Learning

Northern Trust • Chicago, IL

1d • Hybrid

About The Position

Northern Trust Asset Management (NTAM) is a global investment management firm with over a trillion dollars in assets under management, trusted by investors worldwide to help them navigate changing market environments and achieve their long-term goals. As part of our ongoing commitment to operational excellence and data-driven decision-making, we are seeking an experienced and highly skilled Senior Analytics Specialist to join our Asset Management team. The ideal candidate will possess deep expertise in data science, artificial intelligence/machine learning (AI/ML), and a strong understanding of investment management processes.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a closely related field
• 7+ years of hands-on experience applying advanced data science and AI/ML techniques within asset management or investment management environments.
• Strong understanding of portfolio management, asset allocation, and risk assessment practices, with a proven ability to translate investment concepts into analytical models.
• Proficiency in programming languages and analytics tools such as Python, R, SQL, and modern machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Hands on skills on platforms such as Azure, Snowflake, Databricks and Power BI
• Experience working with large, complex financial datasets and leveraging data engineering best practices to ensure data quality and scalability.
• Up-to-date knowledge of emerging trends and technologies in AI/ML, data engineering, and investment analytics.
• Excellent communication skills, with the ability to present technical findings to both technical and non-technical stakeholders, including senior management.
• Leadership experience mentoring analytics professionals and fostering a collaborative, innovative team environment.

Responsibilities

• Develop, implement, and maintain advanced analytics models using data science and AI/ML techniques to support portfolio management, investment operations, distribution and risk assessment.
• Collaborate with investment professionals to identify analytical opportunities, translate business requirements into solutions, and communicate insights to stakeholders.
• Analyze large and complex financial datasets to extract actionable insights and drive evidence-based recommendations.
• Build, validate, and optimize predictive models for driving growth, risk management, and operational efficiency.
• Shepard the AI/ML models through various validation and governance committees.
• Stay abreast of the latest trends in AI/ML, data engineering, and investment analytics, and proactively recommend innovative approaches to enhance the firm's analytical capabilities.
• Partner with IT and Data Engineering teams to ensure robust data pipelines, data integrity, and scalable analytics infrastructure.
• Present complex analytical findings in a clear, concise, and compelling manner to both technical and non-technical audiences, including senior management.
• Mentor and guide junior analytics team members, fostering a culture of innovation, collaboration, and continuous learning.

Benefits

• retirement benefits (401k and pension)
• health and welfare benefits (medical, dental, vision, spending accounts and disability)
• paid time off
• parental and caregiver leave
• life & accident insurance
• other voluntary and well-being benefits
• discretionary bonus program that may include an equity component

What This Job Offers

• Job Type: Full-time
• Career Level: Senior