Principal Data Scientist at Fidelity driving AI/ML innovations and solutions for financial growth. Collaborating cross - functionally to design and deploy advanced analytics and AI technology.
RI
Hybrid Senior Data Scientist, Biometric Assumptions – Longevity Team
Posted last month
About the role
- Senior Data Scientist focusing on model risk management, validation, and AI applications. Contributing to financial protection solutions with a multinational team.
Responsibilities
- Conduct model validation and perform model risk assessment for AI and predictive models, working in collaboration with functional associates.
- Support the evaluation, monitoring, reporting of overall model risk exposure for RGA, identify trend and mitigation opportunities.
- Execute all activities related to model risk oversight to monitor the use of AI and predictive models at RGA supported by the model risk policy and assessment plan.
- Assist in development and implementation of the enterprise Model Risk Management (MRM) framework and MRM strategy, with a focus on AI and predictive models.
- Collaborate with business units to create awareness of the model risk framework and its implementation in order to maintain high engagement with model owners, first line risk officers and other stakeholders.
- Support the development of operational risk quantification methodology and process, including related socialization to ensure the methods are understood and used appropriately.
- Maintain regular and predictable attendance.
Requirements
- Bachelor’s Degree in Arts/Sciences (BA/BS) Math, Statistics, Actuarial Science, Computer Science, or related field required or Master’s degree in Arts/Sciences (MA/MS) Math, Statistics, Actuarial Science, Computer Science, or related field preferred
- 5+ Years software development experience, with familiarity developing statistical models for insurance or related applications required
- 1+ Years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) required or 3+ Years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) preferred
- Statistical programs (ex.: R, Python), spreadsheets skills (Excel/VBA) and database applications (Oracle, SQL or equivalent technology) - Technical Skills - Intermediate Proficiency required
- Machine learning models / concepts - Technical Skills Upon Hire - Beginner Proficiency required
- Predictive model knowledge, including statistical concepts for feature engineering, model diagnostics and model evaluation - Technical Skills - Beginner Proficiency required
- Analytical and problem-solving skills - Technical Skills - Advanced Proficiency required
- Reinsurance industry and product knowledge - Technical Skills - Beginner Proficiency preferred
- Make timely and effective decisions; and produce results through strategic planning - Behavioral Skills - Advanced Proficiency required
- Oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received - Technical Skills - Expert Proficiency required
- Ability to liaise with individuals across a wide variety of operational, functional, and technical disciplines - Behavioral Skills - Intermediate Proficiency required
- Persuasion and negotiation skills when working with internal/external customers - Behavioral Skills - Advanced Proficiency required
- Certified Analytics Professional (CAP) Preferred
Benefits
- Gain valuable knowledge from and experience with diverse, caring colleagues around the world.
- Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.
- Join the bright and creative minds of RGA, and experience vast, endless career potential.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist at Enklare owning end - to - end ML models from data to production. Working across data engineering, data science and backend systems for financial impact.
Senior Data Scientist focused on supply chain analytics at Emerson. Collaborating with cross - functional teams to enhance master data quality and drive operational improvements.
Data Scientist responsible for end - to - end analytical solutions for iA Financial Group. Collaborating with business partners to enhance value using data innovation.
Junior Product Analyst role supporting the Product Manager in a tech company. Involved in organizing tasks, gathering information, and ensuring alignment for efficient project flow.
Data Scientist transforming business process data into actionable insights for clients. Collaborating on process improvement projects using cutting - edge process mining tools.
Data Manager ensuring the integrity and reliability of environmental quality data for ERM. Overseeing data lifecycle and collaborating with teams to deliver high - quality datasets.
Data Science Analyst at Nomura developing analytics products and supporting digital transformation. Collaborating with various teams to leverage data insights for strategic decisions.
Senior Data Scientist & AI Engineer advancing RLD Foundation’s data strategy in a collaborative environment. Building data infrastructure and conducting analytics to support social impact initiatives.
SAP BRIM Data Scientist analyzing high - volume billing data for insights and optimization. Collaborating with teams to implement predictive models and ensure data security standards.