Credit Risk Analyst

COMPANY NAME:

Principa

JOB TITLE:

Credit Risk Analyst / Data Scientist

LOCATION:

Hybrid (Century City / Stellenbosch Offices)

ABOUT PRINCIPA:

Principa is an international data analytics company based in South Africa. Our data scientists, developers and consultants work together to develop data analytics products and solutions that derive answers, predictions and recommended actions from large and complex data sets for over 150 companies in 30 countries in Africa, Middle East and Europe.

We are experts in using data insights to predict human behaviour and drive the optimal outcome: from identifying the most profitable customers or account holders to target to identifying and targeting your most cost-effective marketing initiative for a defined market segment. Our aim is to turn data into wisdom that enables companies to work wonders.

Principa is part of the Hyperclear Tech group, which boasts a diverse technology offering including robotic process automation (RPA), business process management (BPM), data analytics, and decisioning technology.

OUR VALUES:

• Client Value Creation
• Respect For The Individual
• Innovation
• Integrity
• Our People
• Performance

PRIMARY PURPOSE OF THE JOB:

The Credit Risk Analyst / Data Scientist is one of the individuals contributing to our Consulting and Analytics team working on the development and delivery of reporting, credit risk strategy, predictive models and prescriptive models across the consumer credit life cycle in various industries.

You need to be passionate about data and technology, have a hunger to grow and learn and great collaboration skills.

Working with our advisors and senior team members, you will jointly be responsible for meeting the client’s expectations on projects in relation to results, quality, budgets and timelines.

Typical assignments will involve applying advanced analytical techniques to extract maximum value out of data, constructing data driven strategies, providing insights and presentation of results with key recommendations.

KEY RESPONSIBILITIES:

• Data processing, manipulation and validation.
• Performance and exclusion analysis.
• Action-effect analysis.
• Feature engineering.
• Development of machine learning and data science models in various industries and use cases.
• Development of predictive models across the credit life cycle and in various industries.
• Development of advanced analytical solutions to solve business problems for our clients.
• Analyse reports and results and perform investigative analytics to solve problems.
• Model validation and testing.
• Implementation and monitoring.
• Credit risk strategy development.
• Investigative analytics.
• Compile professional consulting reports and presentations for delivery to clients.
• Develop close relationships with clients to identify additional areas for development and assistance.
• Work closely with other contributors on joint projects, such as sales, marketing, software and consulting.

KEY REQUIREMENTS:

EDUCATION/QUALIFICATIONS:

• A numerical degree in statistics, operational research, computer science, engineering, mathematics or related field.

EXPERIENCE:

• At least 2 years in consumer credit analytics.

OTHER:

• The position is largely remote but will require some onsite collaboration and travel to client sites in South Africa and possibly abroad.

BEHAVIOURAL COMPETENCIES / SKILLS:

• Experience as a data scientist
• Ability to multi-task, prioritize with a sense of urgency, and work under pressure to tight deadlines.
• Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.
• Demonstrate a thirst for knowledge and desire to grow and learn.
• Excellent customer service orientation.
• Strong presentation skills.
• Ability to work in a fast-paced environment.
• Ability to improvise and adapt principles into alternative environments.

TECHNICAL COMPETENCIES / SKILLS:

• Analytical software: good working knowledge of Python.
• In-depth understanding of SQL.
• Working knowledge of SAS.
• A working knowledge of data science and machine learning techniques.
• A working knowledge of Predictive Modelling techniques.
• Data processing, validation, and manipulation skills.
• Proficient in Microsoft Excel, Word, and PowerPoint.

Should you work from home, it is your responsibility to ensure that you have uninterrupted internet connectivity and a ‘work-like’ environment at your home location to deliver your best in terms of performance and productivity.