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.
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…