OMF Senior Data Scientist Scorecard Development at Old Mutual South Africa

Job Description

If you're looking for a company that offers great culture, leadership, learning opportunities, challenges, rewards and recognition, then look no further than Old Mutual.

Who are We?
Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 17 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending.

Old Mutual Finance was established in 2008 to provide unsecured lending products and services to the SA market. The business started with a staff compliment of 34 and has since grown to over 3000 staff with more than 300 branches nationally. Within our branches we offer insurance, transactional banking and lending products as well as servicing.

Why Join Old Mutual?
Enabling our people to be their exceptional best is at the core of what we do. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.

We will provide you with a holistic experience to realise and unleash your potential.

What we Offer:
In partnership with you, we promise to challenge and help you grow in your career through a personalised development plan. We strive to create and expose our people to diverse learning opportunities through formal and informal learning. Most importantly you work in diverse teams made up of enthusiastic people who strive for excellence.

The Opportunity:
Old Mutual Finance is currently seeking to hire a Senior Data Scientist. The successful candidate is individually accountable for designing, producing, analyzing, documenting and enhancing a range of predictive models across the entire credit life cycle.

In this role, you will get to:

• Play a leading role in the development and application of predictive models across the entire credit life cycle.

• Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques.

• Monitor and report on the effectiveness of scorecard strategies.

What you will need to succeed in the role:

• Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines

• An Honours / Masters would be advantageous

• Understanding & knowledge of predictive modelling practices, performance standards & methodologies

• Minimum 3 years’ experience developing credit risk scorecards

• R or Python proficiency, one of the two languages is compulsory

• SQL proficiency is compulsory

• Exposure to extracting data from databases is compulsory

As part of the talent acquisition process, please complete this short survey: https://forms.office.com/Pages/ResponsePage.aspx?id=JBlpAILgAUOj3Bcyr9FCiTeO_sSXeBNIoAKkLV3lr69UNkJEU1JNNDRSOTgwOTAxSDBHWVFTMzVJMS4u

The time is now to find your greatness by becoming part of a company where potential is revealed and growth is inevitable.

Skills

Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modeling, Problem Solving & Analytical, Python Programming, R Code, SQL, Statistical Data Analysis

Education

Bachelor of Commerce Honours (BCom Hons): Mathematical Sciences (Required), Bachelor of Engineering (BEng) (Required), Bachelor of Science Honours (BSc Hons): Computer and Information Science (Required), Bachelor of Science Honours (BSc Hons): Mathematical Sciences (Required)

Closing Date

28 January 2022