Company Description:
About Sutherland
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Job Description:
- Analyze data to estimate the probability and likely cost of events such as death, sickness, injury, disability, or property loss.
- Design and price insurance policies, pension plans, and other financial strategies.
- Develop and implement actuarial models using statistical software (e.g., SAS, R, Python, Excel).
- Collaborate with underwriting, finance, and product development teams to assess risk and support business strategies.
- Prepare reports, forecasts, and presentations for stakeholders and senior management.
- Stay current with regulatory requirements and ensure compliance with relevant laws and guidelines.
- Support the development of new products by assessing profitability and risk exposure.
- Assist in valuation and financial reporting processes.
Qualifications:
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or related field.
- Successful completion of actuarial exams (e.g., ASA or progressing toward FSA or equivalent).
- Strong analytical, mathematical, and problem-solving skills.
- Proficiency in Microsoft Excel and actuarial software (e.g., Prophet, MoSes, or equivalent).
- Working knowledge of programming or statistical languages such as SQL, R, Python, or VBA.
Additional Information:
- Prior experience in insurance, pensions, consulting, or financial services.
- Familiarity with regulatory frameworks such as Solvency II, IFRS 17, or GAAP.
- Excellent communication skills and the ability to present complex findings clearly.
Your information will be kept confidential according to EEO guidelines.
