Officer, Digital Lending and Decision Science at Stanbic IBTC

Stanbic IBTCLagos, Nigeria Digital Marketing

Full Time

Stanbic IBTC Holdings PLC is a full service financial services group with a clear focus on three main business pillars - Corporate and Investment Banking, Personal and Business Banking and Wealth Management. Stanbic IBTC Bank legally became part of Standard Bank Group 24th August 2007. The Standard Bank Group merged its Nigerian operations, Stanbic Bank Nigeria with that of IBTC Chartered Bank PLC. Stanbic IBTC Bank is a major financial service provider engaged in personal banking, business banking, credit cards, corporate banking, non-interest banking and wealth and investment banking in Nigeria. We offer all our clients a wide range of personal & commercial banking products through over 180 branches spread across every state in Nigeria and our online banking platforms. We offer current, savings, and domiciliary accounts; personal loans, vehicle and asset finance; MasterCard debit cards, Visa credit cards; home loans; internet banking; small and medium scale enterprise (SME) loans and the award-winning *909# MobileMoney. We cater for both individuals and businesses through carefully designed retail and business banking products. We also offer self-service channels powered by sophisticated technology to bring convenient banking to customers. Our clients can also get custodial services through Stanbic Nominees Nigeria Limited, our custody arm and non-pension asset custodian, acting in a nominee capacity for clients’ transactions in securities and other investments. We are a key player in financial inclusion and are poised to take banking to the doorsteps of our customers; taking care of the banking needs of different categories of persons and businesses.

Job Description

To drive digitization of PPB clients’ lending products, dimension and quantify digital loans qualifying & scoring parameters ensuring alignment with risk appetite, analyse and quality-assure lending/scoring models & scripts; and seeing to the end-to-end of credit life cycle of the digital loan offerings from origination to collections. This includes portfolio management, timely surfacing of potential risks, whether due to technological, design or operational failings, and overall growth & support of new digital lending frontiers.

Qualifications

Minimum of first degree in Social Sciences/Physical Sciences/Technology.
A Qualification in Salesforce Data Analytics/Data Science/ACA/ACIB/ACCA
8-10 years' experience of process development, data analysis and risk analysis. Experience in credit decisioning, product and credit portfolio management will be very key.

Additional Information

The jobholder will provide input to the country credit scored lending strategies and help shape the requirements based on data availability and intended business outcomes and risk appetite (e. g. develop new logical decision models to calculate average expected credit turnover in the last 6 to 12 months which will be deployed in various ways by the Analysts).
Create new decision strategies and logical solutions based on business and credit requirements in each country and product (e.g. combine a different set of rules (arrears, excesses and other poor credit behaviour to resolve a more complex business/credit rules).
Interpreting data, credit rules and strategies and creating a logical rule set to deliver the required scored lending limits.
The jobholder will have to define new methods of problem-solving logic to customise solutions per products and provide guidance to the junior team members to create new or revised solutions automation. (e.g. build logic/new rules based on new data sources and business requirements).
Designs, develops, quality assures and implements complex credit scoring solutions.
Leads designs of new end to end data processes for Digital Loans and Credit Scoring Solutions in partnership with relevant Country and Centre team.
Sets criteria and parameters in order to monitor trends and variances of implemented designs and where necessary recommends corrective action.
Performs quality assurance (QA) for all functional/technical specification documents and provide consultancy.
Ensures data requirements to execute on lending criteria are correctly defined and mapped within the various strategies including scorecards, policy rules, affordability calculations etc.
Interrogate test data and perform interactive testing in the customer decision engine.
Analyses and interprets outcomes of the decision automation and resolves all errors.
Performs testing walkthrough with country stakeholders to enable User acceptance testing (UAT).
Supports country stakeholders through the testing process and resolve any defects which may arise.
Identifies defects and ensures that they are prioritised for correction.
Monitors post implementation reviews to ensure the accuracy of the credit decisioning.