Securian Financial

Machine Learning Engineer

• Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
• Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
• Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
• Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation.
• Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
• Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
• Deploy, test, and optimize ML models and data pipelines in production environments.
• Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
• Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.

Machine Learning Engineering Consultant

Risk

• Define and execute an enterprise TPRM strategy aligned to risk appetite, business priorities, and the evolving external environment
• Influence senior leaders to drive consistent adoption of TPRM practices and proactive third‑party risk management across Solution Groups
• Lead cross‑functional alignment across the third‑party ecosystem, fostering strong partnerships with Procurement, Compliance, BCM, Cybersecurity, and other second‑line risk functions
• Communicate TPRM program status and risk insights to executive stakeholders, including Risk Council and Executive Leadership Team
• Transform the TPRM program operating model, governance, processes, and enabling technology
• Drive scalability and efficiency improvements across the full third‑party lifecycle
• Establish and execute a capability maturity roadmap aligned to industry best practices while managing to a defined program budget
• Provide enterprise oversight of third‑party risks across operational, cybersecurity, privacy, financial, and regulatory domains
• Ensure consistent risk tiering, due diligence, ongoing monitoring, and issue remediation practices
• Maintain audit and regulatory readiness through strong documentation and defensible risk decisions
• Lead and develop a high‑performing TPRM team and aligned operational risk resources
• Establish clear roles, expectations, accountability, and development pathways
• Foster a culture of collaboration, continuous improvement, and shared ownership of risk

Third Party Risk Management Director

Actuary

• Participate in rotational assignments across different actuarial functions. This may include placements in product development, valuation, risk management, modeling, or other actuarial opportunities.
• Collaborate with cross-functional teams to analyze data, develop models, and provide insights that support business decisions.
• Engage in hands-on projects that drive business outcomes and contribute to the company's strategic goals.
• Participate in mentorship and coaching from experienced actuaries and leaders within the organization.
• Develop and enhance technical skills, including proficiency in actuarial software and tools.
• Prepare and present findings and recommendations to stakeholders, honing your communication and presentation skills.
• Work towards becoming an Associate or Fellow of the Society of Actuaries by completing actuarial exams.

Actuarial Analyst – Rotational Program

Engineering Manager

• Lead, recruit, motivate, champion, and develop engineering associates, maximizing their individual contributions, professional growth, and ability to build/sustain a team culture of efficiency and quality across an agile software development team
• Partner with a matrixed leadership team (including Product Owners and fellow Leaders of People) in an agile development environment to promote engineering best practices ensuring our solutions are designed & engineered to operate safely, securely, and effectively in the delivery of business outcomes
• Build and leverage relationships with internal partners and stakeholders across ET, EBST, EBS, and Operations teams
• Evaluate technology options and promote solutions that align with operating principles
• Awareness of current industry trends and new technologies; desire and willingness to continuously improve skills and knowledge through internal and external continuous learning

Machine Learning Engineering Consultant

Third Party Risk Management Director

Actuarial Analyst – Rotational Program

Engineering Manager – Employee Benefits Solutions Technology