Actuarial Analyst

2 weeks ago

Singapore AMPLIFY HEALTH ASIA PTE. LIMITED Full time

**Where you would add value**

The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant actuarial methods within our healthcare products while effectively understanding and leveraging healthcare data. Effective communication between a range of stakeholders is vital to ensure delivery.

**How you would make a difference**

Core responsibilities include:

- Mining large structured and unstructured datasets for a multitude of companies with different data structures
- Building and assessing actuarial and financial methods to support product builds - there will be a broad range of products to understand from clinical, operations, fraud, financial, digital, sales and marketing, wellness, etc.
- Performing basic to advanced traditional and non-traditional actuarial analytics in development/production
- Usage of data to find new insights to inform client healthcare strategies and internal product development
- Translation of data technical outputs into business usable outcomes that can impact the environment
- Specifying end to end analytical reports which use a range of outputs to derive business insights that will meaningfully change the environment
- Present data and model findings in a way that provides actionable insights
- Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
- Improve processes and data outcomes where opportunities arise

Behavioural skills

Communication skills across a wide range of stakeholders
- Ability to work cohesively in a team environment while balancing multiple priorities
- High level of attention to detail, resilience, enthusiasm, energy and drive
- Positive, can-do attitude focused on continuous improvement
- Ability to take feedback and constructive criticism to drive improved delivery
- Rigorous ability to problem-solve and optimise environment
- Excellent co-ordination skills

Technical understanding

A working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:

- Proficient in traditional and non-traditional actuarial techniques in healthcare
- Proficient in the latest actuarial techniques, measures, indices and financial projection methods
- Proficient in healthcare benefit pricing, product pricing (reserving, risk rating, etc.)
- Working experience in SQL, python, and advanced excel is preferred
- Working experience in advanced statistics and health outcome indices and metrics
- Working experience of data in at least 2 out of the following areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc.
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
- Knowledge of clinical tools including coders, groupers, and classifications is advantageous
- Knowledge of data science in the healthcare space is advantageous
- Experience in Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)

**Qualifications**
- A bachelor's degree in actuarial science
- Ongoing studies in Actuarial Science or Qualified Actuary
- Experience in healthcare analytics

Instructions for interested applicants

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