Quantitative Data & Machine Learning Associate

At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.

Job Description

Quantitative Data & Machine Learning Associate

Northwestern Mutual's Public Investment Department seeks a Quantitative Data & Machine Learning Associate to join our growing team and play a pivotal role in shaping the future of our investment processes. We manage over $125 billion in fixed income assets, and we're building a world-class team to deliver data and machine learning models. You will collaborate directly with Portfolio Managers, Traders, and Credit Analysts to develop cutting-edge solutions.

Principal Responsibilities:

You'll have the opportunity to leverage your unique strengths and interests within a flexible role that spans data, modeling, and visualization. Your activities will center around driving investment performance through innovative improvements to our investment processes activities, such as relative value analysis, portfolio construction, trading tools, risk measurement, and more.

• Build & maintain data models: Collaborate with data engineers to onboard new data sources, design and implement dbt SQL models for data cleaning and integration, and write robust data quality tests to ensure data integrity.
• Develop interactive data visualizations: Create insightful dashboards and applications using Tableau and Streamlit to effectively communicate data and model outputs to the department’s investment professionals.
• Design and implement machine learning models: Utilize state-of-the-art machine learning and AI techniques to develop predictive models, optimize model parameters, research new signals, and deploy models into the Snowflake production environment.
• Apply quantitative methods: Leverage quantitative methods such as portfolio optimization, Monte Carlo simulation, risk measurement, and backtesting to enhance various aspects of the investment process.
• Improve existing systems and workflows: Identify opportunities to enhance investment data, systems, and processes, actively contributing to the prioritization of system improvements.
• Collaborate effectively: Work closely with Portfolio Managers, Traders, and Credit Analysts to speed time to decision and better identify attractive investment opportunities through efficient data delivery, advanced models, and intuitive dashboards.

Job Requirements:

• Master's degree in a quantitative field (e.g., Finance, Data Science, Mathematics) is preferred; Bachelor's degree will be considered.
• 3-7 years of relevant experience; exceptional recent graduates may be considered.
• Strong coding skills in SQL and Python.
• Expertise in data manipulation, data visualization, and machine learning.
• Familiarity with Excel, Snowflake, Streamlit, Git, dbt, and CI/CD pipelines.
• Experience using Bloomberg and BlackRock Aladdin is a plus.
• Investment-related experience and progress towards the CFA designation is preferred.

About the Public Investment Department

Northwestern Mutual’s Public Investments Department manages over $125 billion in investment grade and high yield fixed income assets backing NM’s General Account insurance products and retirement plan assets, and oversees about half of the company’s total General Account assets. The team actively manages these assets with a goal of generating long-run total returns in excess of benchmarks to drive policyholder value. This role will be within Public Investments’ Quantitative Data & Modeling team.

#LI-Hybrid

Compensation Range:

Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the loc ation. Please click here for additional information relating to location-based pay structures.

Grow your career with a best-in-class company that puts our client’s interests at the center of all we do. Get started now!

We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.