
Lead Actuarial Data Engineer
Welcome to New York Life! We are currently seeking a highly skilled and experienced Lead Actuarial Data Engineer to join our dynamic team. In this role, you will be responsible for leading and overseeing the development and maintenance of our actuarial data systems and processes. You will play a crucial role in driving data-driven decision making and providing valuable insights to support our actuarial and financial strategies. We are looking for a self-motivated and detail-oriented individual with a strong background in actuarial science and data engineering. If you are passionate about leveraging data to drive business outcomes and have a desire to grow your career with a leading company in the insurance industry, we encourage you to apply for this exciting opportunity.
- Develop and maintain actuarial data systems and processes.
- Lead and oversee the team responsible for data engineering and management.
- Collaborate with cross-functional teams to ensure data integrity and accuracy.
- Implement best practices and industry standards for data management and analysis.
- Develop and implement data quality control processes to ensure accuracy and completeness of data.
- Analyze and interpret complex data sets to provide valuable insights and support decision making.
- Stay up-to-date with industry trends and advancements in actuarial science and data engineering.
- Train and mentor team members on data engineering techniques and best practices.
- Work closely with actuaries and other stakeholders to understand business needs and provide data solutions.
- Identify and recommend opportunities for process improvements and automation.
- Ensure compliance with regulatory requirements and company policies.
- Develop and maintain documentation for data systems and processes.
- Collaborate with IT teams to ensure the smooth integration of data systems.
- Manage and prioritize multiple projects and tasks to meet deadlines.
- Contribute to the development and execution of actuarial and financial strategies.
- Participate in recruitment and onboarding of new team members.
- Act as a subject matter expert for actuarial data systems and processes.
- Participate in performance evaluations and provide feedback for team members.
- Represent the company in industry events and conferences.
- Maintain confidentiality and integrity of sensitive data.
Bachelor's Or Master's Degree In Computer Science, Mathematics, Statistics, Or A Related Field.
Minimum Of 5 Years Of Experience In Data Engineering, With At Least 2 Years In A Lead Or Senior Role.
In-Depth Knowledge Of Actuarial Principles And Methodologies, Including Experience With Actuarial Software Such As Prophet Or Axis.
Strong Technical Skills In Data Manipulation, Data Modeling, And Database Design, With Proficiency In Sql, Python, And/Or R.
Excellent Communication And Leadership Skills, With The Ability To Collaborate With Cross-Functional Teams And Provide Technical Guidance To Junior Team Members.
Project Management
Programming
Data Analysis
Database Management
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Risk assessment
Predictive analytics
Actuarial Principles
Communication
Conflict Resolution
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Lead Actuarial Data Engineer in New York, NY, USA is between $130,000 and $170,000 per year. This can vary depending on the company, experience, and qualifications of the individual.
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New York Life Insurance Company is the third-largest life insurance company in the United States, the largest mutual life insurance company in the United States.

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