Associate Data Actuary, Longevity Risk Analytics Gfs - Toronto, Canada - RGA

RGA

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Position Overview The Global Financial Solutions (GFS) line of business** accounts for over 50% of RGA's consolidated income. The Longevity line of business is one of RGA's fastest growing lines of business. The GFS Longevity Risk Management team is responsible for the effective in-force and risk management of longevity risk assumed globally, which represents over $70 billion in benefit obligations.

Our
Associate Data Actuary, Longevity Risk Analytics** will be a key player in ensuring that the longevity line of business continues to be a key part of the long-term success of GFS and RGA.

They are responsible for:

Effective risk and inforce management of globally assumed products with longevity risk
Driving efficiencies in longevity and collateral systems and processes
Leveraging the value in the inforce, through actionable analytics and business insights
Supporting new business growth

Responsibilities Database Development and Maintenance**- Leverage actuarial data warehouse, data engineering and/or data architect experience to lead the development and implementation of the Longevity Analytics Database (LAD)

Automation of data pipelines and analytics for more than six siloed processes with varying data taxonomies across functional processes
Leverage database and cloud technology to create centralized storage for longevity inforce and risk management processes
Employ Python and R code to enable automation and efficiencies for data reconciliations and analytics
Effectively utilize visualization tools to improve reporting of inforce Longevity business metrics and analytics
Drive innovation in inforce Longevity processes in order to achieve scalability and improve controls
Communication and collaboration across various teams to enable process automation

Inforce and Risk Management

Data, Experience and Performance Analysis
Analyze the impact of data changes in the inforce files, and work with clients to establish a revised premium and financial settlement
Perform experience analysis and leverage insights in longevity experience emergence to propose changes to best estimate assumptions, and comment on income expectations incorporated in GFS annual Plan
Develop performance and trend metrics from inforce experience studies
Collateral Management
Automate collateral exposure calculations to estimate current and ongoing collateral needs
Work with the Collateral Management team to develop performance and trend metrics
Create analytics based on sensitivity runs with respect to the potential variability of GFS collateral needs, including detailed explanations of any periodoverperiod changes
Risk Management
Work with the Longevity Inforce and Risk Management team to develop performance and trend metrics related to the key risk associated with pension risk transfer business (e.g. longevity, market/credit, operational, etc.), including reporting on usage against risk limits

Leadership and Coaching

Provide thought leadership to the team and department with respect to data science and data architecture
Support development of junior staff and drive team engagement

Requirements Education, Experience & Skills**
Required:

Fellowship in a recognized actuarial organization preferred (FSA, FIA, FCAS, FIAA)
7+ years' experience; at least 4 years postqualification experience
Undergraduate degree in related field
Essential to have actuarial data warehouse, data engineering and/or data architect experience
Expert proficiency in SQL Server, PostgreSQL, Oracle or similar database technology
Expert proficiency in programming language, either in R or Python
Advanced proficiency in visualization tools such as R-Shiny or Plotly-Dash
Experience in actuarial modelling software such as Prophet and/or AXIS
Experience in cloud technologies such as Snowflake
Advanced knowledge of life insurance, longevity, and/or annuity products
Advanced written and verbal communication skills, whereby complex and technical information can be conveyed in a way that is meaningful by all stakeholders, including senior management
Advanced interpersonal skills, demonstrating the ability to work effectively with different stakeholders and disciplines across the company, including local offices, pricing, finance, treasury, valuation, investments, administration as well as external customers
Effective project management skills
Ability to work independently as well as within a team environment
Strong service and result orientation and a drive to make a difference.
Ability to operate at both strategic and detailed levels, anticipate future needs, be proactive and adjust to constant change