Actuarial Data Manager leading and mentoring data analysts in health sector financial objectives and analyses. Overseeing data quality and assisting with financial forecasting and reserving.
Responsibilities
Development of departmental data
Ensuring data quality for Actuarial analyses
Assisting with architecture development and monitoring of corporate data (EDW)
Assisting with reserving, trend setting, and financial forecasting
Manage, coach and mentor staff Data Analysts
Requirements
6+ years related work experience. Experience Details: managed care/health insurance industry experience
3+ years’ direct supervisory/management experience
Related Bachelor’s degree or additional related equivalent work experience
Strong background in SAS, SQL, mainframe, and Unix
Ability to provide technical guidance and training to other members of the Actuarial Department
Ability to lead analysis teams or projects
Demonstrated working knowledge of major BCBSF information systems (financial, payment claims, enrollment, income and their interrelationships
Proficiency in testing and validation of analyses
Experience with developing financial analytical techniques (e.g., IBNR setting or predictive modeling)
Experience with provider payment strategies (e.g., capitation, care network, arrangements, DRG reimbursement)
Established interpersonal skills and professionalism
Demonstrated proficiency in software (regardless of hardware platform) to include spreadsheet, word processing products, data base manager products, user development/corporate production programs and applications
Proven ability to solve problems creatively and in a team-based environment
Proven ability to engage upper management (Directors, Vice-Presidents) on information-critical issues
Proven ability to influence data architecture decisions regarding the sourcing of, data modeling, and final design of Enterprise-wide Information.
Proven ability to engage external information companies to create benchmarking information, and research and develop new methods and tools for analysis
Benefits
Medical, dental, vision, life and global travel health insurance;
Income protection benefits: life insurance, short- and long-term disability programs;
Leave programs to support personal circumstances;
Retirement Savings Plan including employer match;
Paid time off, volunteer time off, 10 holidays and 2 well-being days;
Data Scientist responsible for designing data models and optimizing data analysis processes to deliver actionable insights. Collaborating with stakeholders to improve business outcomes in India.
Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
Intern in Data Science at Wealthsimple, Canada's largest fintech company. Contributing to innovative projects in financial services while receiving mentorship and support.
Data Scientist leveraging AI and advanced analytics for data - led decisions at Zurich. Collaborating across teams to enhance the data - driven strategy and supporting business needs through data.
Data Scientist responsible for interpreting large datasets and managing fraud prevention strategies at Bank of America. Collaborating with various teams to improve risk management and reduce fraud losses.
Data Scientist II focusing on fraud and model governance at Bank of America. Interpreting datasets, developing strategies, and applying analytics for decision making.
Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
Data Scientist supporting cross - functional AI/ML initiatives at Royal Caribbean Group. Designing, developing, and delivering analytical solutions with a focus on machine learning.
Health Data Scientist combining expertise in health communication, data analytics, and behavioral research. Joining a dynamic team to tackle global health challenges using data - driven methodologies.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.