NORTHWESTERN MUTUAL LIFE INSURANCE
Quantitative Data Machine Learning
NORTHWESTERN MUTUAL LIFE INSURANCE, Milwaukee, Wisconsin, United States, 53244
JOB REQUIREMENTS: 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 aQuantitative Data & Machine Learning Associateto 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... For full info follow application link. EEO/AA Employer/Vets/Disability ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/21D4029DD8BE4A88 Qualified females, minorities, and special disabled veterans and other veterans are encouraged to apply.