Risk Date Analyst Scientist

Risk & Date Analyst - Scientist IT - Analyst, Data Management

Cape Town - Western Cape ~ Johannesburg - Gauteng ~ Durban - KwaZulu Natal ~ Remote

ENVIRONMENT:

A US-based innovative Healthcare Management company is seeking to employ a Risk & Data Analyst from the health/ medical aid sector. In terms of experience someone that started in an actuarial role but ventured into data science, or someone who has been a data scientist throughout their career will have better chances of being successful in the interview process. The position requires broad analytical and statistical skills to mitigate potential risk factors that involve healthcare stakeholders and their associated business models. You must have a Tertiary qualification e.g., B.Sc./B. Com Actuarial Science or Financial Mathematics or Mathematical Statistics, a min of 5 years' experience in Analytics and Qlik suite of tools is essential.

DUTIES:

Modelling Design, Development, and Implementation:

Work with the respective stakeholders to deliver the required capability which involves the following aspects:

Analysis of the requirements.
Identify valuable data sources and automate collection processes.
Undertake pre-processing of structured and unstructured data.
Analyse large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Combine models through ensemble modelling.
Present information using data visualization techniques.
Propose solutions and strategies to business challenges.
Collaborate with engineering and product development teams.
Design to ensure a flexible and automated solution.
Testing of the solution with required feedback to the developer ensuring delivery to requirements at the required quality.
Implementation and training to the respective team members & Clients as applicable.
Documentation management as appropriate.
Statistical and financial modelling.
Risk identification and mitigation as it relates to but not limited to Fraud waste and abuse.
Clinical predictor analytics as it relates to medical risk factors and early detection of possible chronic illnesses and/or hospital event predication based on clinical and or utilization protocols to be used in creating machine learning/AI models.

Data Warehouse Design:

Form part of the data warehouse design team with the Business Analytics analyst, General Manager, ETL data warehouse specialist(s) wrt projects /products as identified.
Solution Analysis and underlying procedures, database design and logic.

Bi Product Development and Enhancement:

With the BI Systems Analyst form part of the BI product design team consulting stakeholders with regards to technical & statistical view of product development for identifying and mitigation of business risk.
Demonstrate modelling capability/functionality to stakeholders.
Identify and implement mitigation strategies as it relates to business and industry risks.

Consulting/Mentoring Role:

Consult, mentor and train various members in the BI department with regards to coding / reporting involving the following:

Financial field application & financial calculations.
Financial modelling applications.
Application of Statistical/Actuarial methodologies.
Application of Machine learning / AI methodologies.
Fraud waste and Abuse methodologies.

Special Projects & Ad Hoc Requests:

Assignment with regards to special projects / ad hoc requests from time to time.

Internal Relationships:

BI department
General Manager.
BI developers.
Cognos: BI architect/technical lead.
SQL: BI architect/technical lead.
QlikView/Qlik Sense developers.
Business Users.
Project Managers.
Functional Managers.
IT Development Managers.
IT Implementation Manager.
EXCO.
Sub Project Managers.
Operational managers.

External Relationships:

Industry Partners/software suppliers.
Outsourced development where relevant - contracted parties.
Scheme Clients.
Providers.
Forensic Partners.

REQUIREMENTS:

Educational Requirements:

Tertiary qualification e.g., B.Sc./B. Com Actuarial Science or Financial Mathematics or Mathematical Statistics.
Machine learning/Operations research/AI applications.
BI experience.
Qlik suite of tools essential / Cognos experience will be beneficial.

Analytics - a min of 5 years' experience:

Data Modelling.
Statistical trend and correlation Analysis.
Outlier identification.
Report writing.
Automation solutions.
Neural Network experience will be beneficial.
Fraud, Waste, and abuse experience as it relates to healthcare will be beneficial.
Proven experience as a Data Scientist or Data Analyst.
Experience in data mining.
Understanding of machine-learning and operations research
Knowledge of R, SQL, and Python; familiarity with Scala, Java or C++ is an asset.
Experience using business intelligence tools (e.g., QlikView, Cognos) and data frameworks (e.g. Hadoop).
Analytical mind and business acumen.
Strong math skills (e.g., statistics, algebra).
Problem-solving aptitude.
Excellent communication and presentation skills.

Technical skills: