Actuarial Data Analyst

2 weeks ago

Toronto, Canada RMA Inc. Full time

RMA was founded in 1996. Its head office is in the financial district of Toronto with market representation in the United States. RMA is a licensed Life and Health Agency with Property and Casualty Broker licenses throughout Canada. Its primary focus is to provide flexible and innovative ideas, technical expertise and customized solutions to leading insurance and reinsurance companies both in Canada and USA. Our team consists of actuaries, underwriters, claims and treaty professionals as well as reinsurance administrative specialists. RMA is a member company of Starwind Specialty, a division of Truist Insurance Holdings.

RMA offers worksite flexibility and teammates may elect to work hybrid or permanently from home. Teammates will be required to attend the Company offices for regular collaboration days and/or other department or Company meetings as required.

Teammates are required to be fully vaccinated against COVID-19 to work on RMA’s premises and as a condition of employment. Accommodations will be made for teammates who cannot be vaccinated due to medical reasons or any other protected ground under human rights legislation.

**Overview**

The Data Analyst reports to the Actuarial Manager in the Life Reinsurance Division. The incumbent will have a balanced mandate of both modelling and technical support accountabilities. Responsibilities to include assisting in the modelling of mortality projections, preparing data files for quarter end process, supporting the enhancement of Moody’s AXIS models and helping to build and test an experience studies system.

**Principal Accountabilities**

Data Analysis
- Analysis and summarization of client-provided data.
- Aid with experience analysis for new business quotes.
- Data file preparation for quarter-end financial reporting.

Database Consolidation and Evaluation
- Assist with the development of pricing models and tools.
- Assist with the development of SQL Server and MS Access databases.
- Consolidation, evaluation and reconciliation of MS Excel spreadsheets, text files and databases.

Data Quality Review
- Use of R or Python software required along with MS Excel.
- Reconciliation and evaluation of data within SQL server or MS Access.
- Coordinate with external systems to integrate outputs/inputs of AXIS with databases.

Ad Hoc Requests:

- Assist with pricing model setup, automation of tasks within Excel and other statistical/data manipulations tasks not mentioned.
- Assist with Longevity pricing as required.
- May be tasked with assist Life Reinsurance modelling tasks in Moody’s AXIS.

**Position Requirements**

Education
- Bachelor’s degree from data science, statistical, mathematical, actuarial or similar programs or Actuarial exams along with other bachelor’s degree. College diploma with strong data analysis and database experience will be considered.

Knowledge
- Understanding of Linear Regression.
- High-level knowledge of insurance, reinsurance or life contingencies strongly preferred.

**Skills**:

- Very strong analytical and problem-solving skills.
- A self-starter with strong collaboration skills.
- Ability to deal with other technical professionals (mathematical/actuarial).
- Highly proficient in MS-Office tools, especially MS-Excel and MS-Access.
- Experience with mortality forecasting algorithms preferred.
- Experience with either R, Python or other programming languages. Prefer working knowledge of data manipulation inside programming.
- Strong SQL and Database knowledge required, such as SQL Server, MS Access or
- Experience with MS Power BI, Tableau or similar is an asset.

Experience
- Previous work experience, including co-op or summer work term(s) preferred.

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