Data Scientist - Asset Management (Hybrid)

Position Summary: 

Securian Financial is looking for a Data Scientist to join our asset management team! This position offers an exciting opportunity to apply artificial intelligence, data science, and advanced analytics to solve complex business challenges within investment management. Working closely with investment professionals, business stakeholders, and technology teams, you will design and implement innovative solutions that enhance investment decision-making, streamline operations, and improve business efficiency. You will leverage emerging technologies, including generative AI, machine learning, and modern cloud-based data platforms, to turn complex data and business needs into practical, scalable solutions. This role is ideal for someone who combines strong technical expertise with curiosity, creativity, and a passion for delivering meaningful business impact through AI and data-driven innovation.

Responsibilities include but not limited to: 

AI and Data Science Solution Development

• Design, develop, and implement AI and data science solutions that address business challenges across investment management and operations.
• Leverage generative AI, large language models (LLMs), machine learning, and advanced analytics to automate processes, enhance decision-making, and improve operational efficiency.
• Develop and enhance AI-enabled workflows, including document processing, information extraction, summarization, and knowledge retrieval.
• Collaborate with technology and engineering teams to develop scalable, reusable AI capabilities that can be applied across multiple business functions and use cases.
• Evaluate emerging AI technologies, tools, and methodologies to identify opportunities for innovation and continuous improvement.
• Support the testing, validation, monitoring, and ongoing enhancement of AI and data science solutions to ensure accuracy, reliability, and business value.

Data Analytics and Technology Enablement

• Leverage enterprise data platforms, including Snowflake, to analyze complex datasets, identify trends, and generate actionable business insights.
• Develop data-driven solutions that support 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 that improve business efficiency and decision-making.
• Promote effective data management practices, including data quality, governance, and responsible use of enterprise data.

Business Partnership and Solution Delivery

• Partner directly with portfolio managers, investment analysts, and business stakeholders to identify opportunities where data science and AI can deliver meaningful business value.
• Translate business challenges into clearly defined technical requirements, solution designs, and actionable development plans.
• Collaborate with Enterprise Technology, data engineering, and AI governance teams to design, develop, and implement solutions aligned with enterprise technology standards.
• Lead or contribute to data science and AI initiatives from initial discovery and prototyping through implementation and ongoing enhancement.
• Communicate technical concepts, solution capabilities, and business outcomes effectively to both technical and nontechnical audiences.
• Measure and communicate the effectiveness of delivered solutions, including improvements in productivity, accuracy, and operational efficiency.

Qualifications: 

• 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 decision-making.
• 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 their practical application to business processes.
• 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, with 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.

Preferred Qualifications: 

• 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.

#LI-Hybrid **This position will have a hybrid working arrangement, working in-office for a minimum of 3 days a week.** 

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you’re in a commutable distance (90 minutes) you’ll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules. 

Preferred Skills: