Senior Credit Risk Analyst

COMPANY NAME:

Principa

JOB TITLE:

Senior Credit Risk Analyst

LOCATION:

Cape Town (Hybrid)

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.

We take data, organise it into information, interpret the data and draw insights to give you an understanding of your current situation. We then apply our knowledge and experience to help you make decisions and develop strategies that improve or change your situation. Together with our data analytics skills and products, industry experience, and technology we help companies work wonders.

OUR VALUES:

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

PRIMARY PURPOSE OF THE JOB:

The senior credit risk analyst will lead analytics projects and play a key lead role in delivering client consulting and analytics project. You will be responsible for analytical services across the credit life cycle. You will also be involved with and manage a variety of data science projects, ranging from fraud detection and churn prediction, to demand forecasting and strategy optimisation.

Working with our advisors, 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:

• Analytical team leadership and management.
• Analytical team mentorship, guidance and development.
• Data processing, manipulation and validation.
• Performance and exclusion analysis.
• Action-effect analysis.
• Feature engineering.
• Predictive model development.
• Optimisation modelling.
• Model validation and testing.
• Implementation and monitoring.
• Credit risk strategy development.
• Investigative analytics.
• Financial and profit modelling.
• Delivery of analytical solutions to our clients.
• Provide day-to-day analytical assistance across multiple clients and projects.
• Analyse reports and strategy results.
• Compile professional consulting reports and presentations for delivery to clients.
• Lead and support new product innovation within the analytics team.

KEY REQUIREMENTS:

EDUCATION/QUALIFICATIONS:

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

EXPERIENCE:

• At least 2 years in an analytics mentorship role.
• At least 8 years advance analytics experience within credit risk management.
• Experience in the consulting industry would be an advantage.

OTHER:

• The position is hybrid and with teams mostly working remotely. But we prioritise in person time for collaboration and will require travel to client sites in South Africa and possibly abroad.

BEHAVIOURAL COMPETENCIES / SKILLS:

• Analytical thought leadership.
• Proven track record in analytical abilities.
• Ability to multi-task, prioritize with a sense of urgency, and work under pressure to tight deadlines.
• Demonstrate a thirst for knowledge and desire to grow and learn.
• Excellent customer service orientation.
• Strong presentation skills.
• Ability to improvise and adapt principles into alternative environments.

TECHNICAL COMPETENCIES / SKILLS:

• Analytical software: good knowledge of SQL, SAS, Python, or other leading statistical software.
• Experience with analytical tools in cloud platforms, including Redshift, BigQuery, Databricks, etc.
• Good knowledge in business insight reporting capabilities.
• A very good working knowledge of new tools and techniques within predictive modelling.

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.