Data Scientist - Asset Management (Hybrid)

Securian Financial • Saint Paul, MN

1d • $89,000 - $164,300 • Hybrid

About The Position

Securian Financial is seeking a Data Scientist to join its asset management team and apply artificial intelligence, data science, and advanced analytics to investment management challenges. The role works closely with investment professionals, business stakeholders, and technology teams to design and implement scalable solutions that improve investment decision-making, streamline operations, and increase business efficiency. The internal position title is Data Science Consultant.

The position uses generative AI, large language models, machine learning, and cloud-based data platforms to translate complex data and business needs into practical solutions. Work includes developing AI-enabled workflows for document processing, information extraction, summarization, and knowledge retrieval; analyzing enterprise data; supporting investment research, portfolio management, and risk analysis; and improving data workflows and reporting. The Data Scientist also partners with stakeholders to identify opportunities, define technical requirements, deliver initiatives from discovery through implementation, and assess their effectiveness.

The role has a hybrid working arrangement, with a minimum of three days per week in the office for associates within a commutable distance of 90 minutes. The employer describes flexibility around business and personal schedules. The estimated base pay range is $89,000 to $164,300; pay may vary based on job-related factors and individual qualifications.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, or a related field, or equivalent practical experience.
• Experience developing and implementing data science, analytics, machine learning, or AI solutions in a business environment.
• Experience with business intelligence and data visualization tools such as Tableau or Power BI to develop interactive dashboards, communicate insights, and support data-driven decisions.
• Proficiency in Python and SQL, including experience working with complex datasets and developing data-driven applications or workflows.
• Familiarity with generative AI, large language models, and practical business applications.
• Understanding of cloud computing environments and modern data platforms such as AWS and Snowflake.
• Experience working with APIs, data integration processes, and analytical development tools.
• Strong analytical and problem-solving skills, including the ability to translate business requirements into practical technical solutions.
• Strong communication and collaboration skills, including experience working with business stakeholders and cross-functional technology teams.

Nice To Haves

• Experience developing applications or workflows using generative AI technologies, including LLM APIs, prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
• Experience with AWS services and AI technologies such as Amazon Bedrock, Lambda, S3, or related cloud services.
• Experience with Snowflake or comparable cloud-based data platforms.
• Experience in asset management, investment management, insurance, or broader financial services.
• Familiarity with investment data platforms such as Bloomberg, FactSet, Clearwater, Intex, or Precision LM.
• Experience developing solutions involving financial document analysis, intelligent document processing, or workflow automation.
• Familiarity with software development practices, including version control, testing, deployment, and production support.
• Graduate degree in a STEM discipline, Finance, Economics, or a related field.
• Relevant cloud, data science, or AI certifications.

Responsibilities

• Design, develop, and implement AI and data science solutions addressing business challenges across investment management and operations.
• Use generative AI, large language models, machine learning, and advanced analytics to automate processes, enhance decisions, and improve operational efficiency.
• Develop and enhance AI-enabled workflows for document processing, information extraction, summarization, and knowledge retrieval.
• Collaborate with technology and engineering teams to develop scalable, reusable AI capabilities for multiple business functions and use cases.
• Evaluate emerging AI technologies, tools, and methodologies for innovation and continuous improvement.
• Support testing, validation, monitoring, and ongoing enhancement of AI and data science solutions.
• Use enterprise data platforms, including Snowflake, to analyze complex datasets, identify trends, and generate actionable insights.
• Develop data-driven solutions supporting investment research, portfolio management, risk analysis, and operational processes.
• Partner with data engineering and technology teams to support data integration, transformation, and accessibility across investment systems.
• Develop and enhance analytical tools, reporting capabilities, and data workflows to improve business efficiency and decision-making.
• Promote data quality, governance, and responsible use of enterprise data.
• Partner with portfolio managers, investment analysts, and business stakeholders to identify opportunities for data science and AI.
• Translate business challenges into technical requirements, solution designs, and actionable development plans.
• Collaborate with Enterprise Technology, data engineering, and AI governance teams to align solutions with enterprise technology standards.
• Lead or contribute to data science and AI initiatives from discovery and prototyping through implementation and ongoing enhancement.
• Communicate technical concepts, solution capabilities, and business outcomes to technical and nontechnical audiences.
• Measure and communicate solution effectiveness, including improvements in productivity, accuracy, and operational efficiency.

Benefits

• Flexible paid time off, with additional PTO based on length of service.
• Flexible leave programs including parental, caregiver, bereavement, and military leave.
• Nine company-paid holidays.
• Company-funded pension plan.
• 401(k) retirement plan with a company contribution tied to company performance, up to 10% of eligible earnings and with a 5% target.
• Medical, dental, and vision coverage for associates and eligible family members beginning on the first day of employment.
• Paid volunteer time off and a dollar-for-dollar matching gift program.
• Associate Resource Groups supporting employee connection and relationships.

What This Job Offers

• Job Type: Full-time