Northwestern Mutual
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At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
Principal Responsibilities:
You’ll have the opportunity to leverage your unique strengths and interests within a role that spans data analytics, predictive modeling, visualization, and data science applications. Your activities will center around driving investment performance through innovative improvements to our investment processes, 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.
- Improve existing systems and workflows: Identify opportunities to enhance investment data, systems, and processes.
- Collaborate effectively: Work closely with Portfolio Managers, Traders, and Credit Analysts to better identify attractive investment opportunities through efficient data delivery, advanced models, and intuitive dashboards.
Growth Opportunities:
As you progress in this role, you’ll be expected to take on more advanced data-driven analyses.
- 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.
Job Requirements:
- Bachelor’s degree in a quantitative field (e.g., Finance, Computer/Data Science). Candidate should be a current student or a recent graduate.
- Strong development skills in languages such as SQL, Python, Streamlit, dbt, etc.
- Excellent data manipulation and data visualization skills.
- Experience with software development practices such as version control and CI/CD pipelines is preferred.
- Exceptional attention to detail.
- Experience using Bloomberg and BlackRock Aladdin is a plus.
- Investment-related experience or coursework is required.
Interpersonal Skills
- Passion for investing.
- Effective oral and written communication skills.
- Demonstrated analytical and problem-solving ability.
- High degree of self-motivation, passion, and a drive to learn.
#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 location. 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.
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