Data Scientist – Asset Management

Securian Financial

. Design, develop, and implement AI and data science solutions for investment management and operations .

Posted 11/2/2026full-timeSaint Paul • Minnesota • United StatesMid-LevelSenior💰 $89,000 - $164,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI and data science solutions, with proficiency in Python, SQL, and data visualization tools like Tableau or Power BI. Strong analytical skills and the ability to collaborate effectively with cross-functional teams to drive data-driven decision-making in investment management.

Highest-signal resume keywords

AI Solution DevelopmentMachine Learning ImplementationData Analysis Using SnowflakeBusiness Intelligence ToolsCloud Computing Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLMachine LearningData ScienceData AnalysisGenerative AILarge Language ModelsAPIsData IntegrationAnalytical Development

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

TableauPower BIAWSSnowflakeBloombergFactSetClearwaterIntexPrecision LM

Certifications & Qualifications

Cloud CertificationsData Science CertificationsAI Certifications

Industry Keywords

Investment ManagementFinancial ServicesAsset ManagementDocument ProcessingWorkflow Automation

Tech Stack

Tools & technologies

AWSCloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Design, develop, and implement AI and data science solutions for investment management and operations
Use generative AI, large language models, machine learning, and advanced analytics to automate processes and improve decision-making and efficiency
Develop AI-enabled workflows for document processing, information extraction, summarization, and knowledge retrieval
Collaborate with technology and engineering teams to create scalable, reusable AI capabilities
Evaluate emerging AI technologies, tools, and methodologies
Test, validate, monitor, and enhance AI and data science solutions
Analyze complex datasets using enterprise data platforms such as Snowflake
Develop data-driven solutions for investment research, portfolio management, risk analysis, and operations
Support data integration, transformation, and accessibility across investment systems
Develop analytical tools, reporting capabilities, and data workflows
Promote data quality, governance, and responsible enterprise data use
Partner with portfolio managers, investment analysts, and business stakeholders to identify opportunities for AI and data science
Translate business challenges into technical requirements, solution designs, and development plans
Collaborate with Enterprise Technology, data engineering, and AI governance teams
Lead or contribute to initiatives from discovery and prototyping through implementation and enhancement
Communicate technical concepts and business outcomes to technical and nontechnical audiences
Measure and communicate solution effectiveness, including productivity, accuracy, and efficiency improvements

Requirements

What you’ll need

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
Proficiency in Python and SQL
Experience working with complex datasets and developing data-driven applications or workflows
Familiarity with generative AI and large language models and their practical business applications
Understanding of cloud computing environments and modern data platforms such as AWS and Snowflake
Experience with APIs, data integration processes, and analytical development tools
Strong analytical and problem-solving skills
Strong communication and collaboration skills with business stakeholders and cross-functional technology teams
Preferred: experience with LLM APIs, prompt engineering, retrieval-augmented generation, or agentic AI frameworks
Preferred: experience with AWS services such as Amazon Bedrock, Lambda, and S3
Preferred: experience with Snowflake or comparable cloud-based data platforms
Preferred: experience in asset management, investment management, insurance, or financial services
Preferred: familiarity with Bloomberg, FactSet, Clearwater, Intex, or Precision LM
Preferred: experience with financial document analysis, intelligent document processing, or workflow automation
Preferred: familiarity with version control, testing, deployment, and production support
Preferred: graduate degree and relevant cloud, data science, or AI certifications

Benefits

Comp & perks

Paid time off (PTO), with additional PTO based on length of service
Parental, caregiver, bereavement, and military leave
Nine company-paid holidays
Company-funded pension plan
401(k) retirement plan with company contributions up to 10% of eligible earnings, with a target of 5%
Medical, dental, and vision coverage from the first day of employment for associates and eligible family members
Company-sponsored volunteer events and paid volunteer time off
Dollar-for-dollar matching gift program
Associate Resource Groups
Hybrid work arrangement with virtual and in-office work
Professional growth and work-life balance support