Data Scientist - Asset Management (Hybrid)

Securian Asset Management; United States; Híbrido; USD 89.000 - 164.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PTO

Holidays

401(k) retirement plan

Health insurance

Descripción de la vacante

Securian Financial Group is seeking a Data Scientist to join its asset management team, applying AI, data science, and analytics to enhance investment decisions and operations.

You will collaborate with investment professionals, stakeholders, and tech teams to design scalable AI solutions using generative AI, ML, and Snowflake-based data platforms, delivering business value through data-driven innovation.

Formación

• Bachelor's degree or equivalent practical experience.
• Experience delivering data science/AI solutions in a business setting.
• Proficiency with BI tools to present insights.
• Strong Python and SQL skills for data-driven apps.
• Familiarity with generative AI and LLMs in business processes.
• Understanding of cloud data platforms (AWS, Snowflake).
• Ability to translate business needs into technical requirements.

Responsabilidades

• Design and implement AI and data science solutions for investment management and operations.
• Leverage generative AI, ML, and analytics to automate processes and improve decision-making.
• Develop AI-enabled workflows (document processing, extraction, summarization, retrieval).
• Collaborate with tech teams to build scalable, reusable AI capabilities.
• Evaluate emerging AI technologies for innovation and improvement.
• Support testing, validation, monitoring, and enhancement of AI solutions.
• Develop data analytics and reporting tools to improve efficiency and insights.

Conocimientos

AI/ML

Python & SQL

Data Visualization

Cloud AWS & Snowflake

Communication & Collaboration

Generative AI & LLMs

Educación

Bachelor's degree in Data Science, CS, Statistics, Math, Engineering, Finance or related field

Herramientas

Tableau

Power BI

Snowflake

AWS

Descripción del empleo

Securian Financial Group’s internal position title is Data Science Consultant. 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.

Work Arrangement

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.

Responsibilities

• 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.

Preferred Skills

• AI Concepts
• Analytics
• Artificial Intelligence (AI)
• Collaboration
• Continuous Improvement
• Data Analytics
• Data Science
• Machine Learning (ML)
• Problem Solving

Pay

The estimated base pay range for this job is: $89,000.00 - $164,300.00. Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Benefits

• Paid time off: We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what’s important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
• Leave programs: Securian’s flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
• Holidays: Securian provides nine company paid holidays.
• Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian’s 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results relative to goals related to earnings, sales and service.
• Health insurance: From the first day of employment, associates and their eligible family members – including spouses, domestic partners and children – are eligible for medical, dental and vision coverage.
• Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
• Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including: Environmental Health & Sustainability Mental Wellness and Disability Pride at Securian Financial Securian Young Professionals Network Securian Multicultural Network Securian Women and Allies Network Servicemember Associate Resource Group

For more information regarding Securian’s benefits, please review our Benefits page. This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status.

If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at [e-mail], by telephone [phone] (voice), or 711 (Relay/TTY). Securian Financial is a drug-free workplace. To view our privacy statement To view our legal statement.

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