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Securian Financial Group

Mutual holding company delivering insurance, investments

Data Scientist - Asset Management

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSt Paul, MN, USA$89k - $164.3k

About the Job

Requirements

  • A 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 artificial intelligence 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 artificial intelligence, 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.

Responsibilities

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

Desired Qualifications

  • Experience developing applications or workflows using generative artificial intelligence technologies, including large language model APIs, prompt engineering, retrieval-augmented generation, or agentic artificial intelligence frameworks.
  • Experience with AWS services and artificial intelligence 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.
  • A graduate degree in a STEM discipline, Finance, Economics, or a related field.
  • Relevant cloud, data science, or artificial intelligence certifications.
  • Preferred skills include artificial intelligence concepts, analytics, artificial intelligence, collaboration, continuous improvement, data analytics, data science, machine learning, and problem solving.

About the Company

Securian Financial Group

Mutual holding company delivering insurance, investments

Securian Financial Group is a mutual holding company that offers a range of financial protection and planning products. It sells individual and group insurance (term life, illness, and accident) as well as credit life and disability products, and it provides investment and retirement solutions. Its products provide financial protection or income support, such as life benefits, medical cost coverage, loan payoff on death, and income replacement during disability, along with saving for retirement. It differentiates itself by being owned by policyholders rather than public shareholders and by operating through multiple subsidiaries to serve a broad U.S. market, with the goal of helping people manage financial risk and plan for retirement.

Company size
Not listed
Company stage
Not listed
Total funding
$138.8M
Headquarters
St Paul, MN
Founded
1880

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