Building Financial Security

For more than 165 years, the team at Northwestern Mutual has known the power in providing financial services with a tech edge. To keep up with the speed of technology, the company invests in its people, providing continuous education and development opportunities. On any given day, employees are encouraged to experiment and innovate, learn from mistakes and explore the organization’s dynamic tech landscape — anything in the name of evolving the fintech industry. Whether you’re certain of your professional vision, or you need support in charting your path, a lifetime of career opportunities await you at Northwestern Mutual.

At a glance

01

A WIDE REACH

More than 4.9 million clients rely on Northwestern Mutual for financial services.


02

TIME IS YOURS

On top of a flexible, hybrid work model, employees can take up to 16 hours of annual paid volunteer time.


03

ENGAGED IN ERGS

More than 50 percent of employees are involved in at least one of eight employee resource groups, formed to connect traditionally underrepresented team members and allies.


04

FINANCIAL FOUNDATION

Northwestern Mutual has dedicated $40 million to fund Black- and women-founded startups nationwide.


Search the 97 jobs at Northwestern Mutual

Fintech • Insurance • Financial Services
Assistant Director of Client Experience Strategy at Northwestern Mutual, responsible for developing client-centered strategies, collaborating with cross-functional teams, and driving business impact through planning and analysis.
Fintech • Insurance • Financial Services
Seeking a highly skilled Lead Data Scientist with expertise in NLP and fine-tuning LLMs. Responsibilities include researching, designing, and implementing pioneering NLP algorithms, collaborating with teams, staying updated on AI technologies, analyzing results, and driving innovation. Requires a Master's degree in related field, 6-8 years of professional experience, proficiency in Python, TensorFlow, PyTorch, and experience with NLP frameworks.
Fintech • Insurance • Financial Services
Seeking a Senior Data Scientist with experience in Reinforcement Learning from Human Feedback (RLHF) and a focus on Generative AI. Responsibilities include research, design, and implementation of reinforcement learning algorithms, staying updated with AI technologies, interpreting data resources, problem-solving, mentoring, and driving innovation.