Sr. Specialist, Advanced Analytics

Key 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.

Necessary Qualifications & Experience

• 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.

Salary Range

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including 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, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

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 with an equity component

Working With Us

We are a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve!

#MadeForGreater

Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.