Job Purpose Statement
The
primary purpose of this role is evaluation and structuring of financial risk
processes for Merchant & Ecosystem products including ensuring quality
appraisals of credit applications across the LDFS Group through performing
research and due diligence activities in partnership with LDFS Line of Business
(LOB) executives, data science unit and partners. This includes reviewing and
screening potential market, partnership and product structures and strategic
collaboration opportunities in partnership with and on behalf of LOB Sponsors.
The
role holder is responsible for driving quality lending margins by evaluating
financial and credit risk proposals and making recommendations that influence
business decisions that align with the LDFS Business Model, Risk Appetite and
Business objectives, and will be responsible for making decisions on SME and
Ecosystems lending proposals as per delegated authority, and in line with the
Credit Risk Management policy and the SME Product Guideline.
Subject
Matter Expert in credit risk underwriting process design and assessment
techniques in a highly digital and data driven environment, market research and
financial risk management and will assist Senior Manager to guide other LDFS
Units in their roles and responsibilities in a manner that optimizes risk
margins.
Duties And Responsibilities
Financial (10%)
- Proactive management of Cost of Risk by
ensuring that they are maintained at the prescribed and budgeted level
(Quality of portfolio – Maintain PAR/ NPL & impairment charge within
set metrics) through prudent lending practices and monitoring of Early
Warning Signs
- Minimize the risk of loss/ bad debts
through prudent lending practices and monitoring of Early Warning Signs on
financial and credit risk portfolios
- Improvement in business returns through
minimization of revenue leakage, maximizing revenue from existing/new
customers and partners and share of wallet thereon or identification of
additional revenue opportunities through deal structuring and due diligence;
and offering appropriate products, customer experiences, operations,
collections and recoveries and rehabilitation journeys.
- Obtain and review appropriate and timely
MIS on exceptions and loans in arrears for purposes of pro-actively
managing exposures with minimal loss to the business. This will include
periodical reviews with Business Leads for purposes of reviewing controls
or facilitating exit of risk as appropriate.
- Establish and review risk tolerance
thresholds based on LDFS strategy and Risk Appetite, manage and escalate
exceptions to guard the bank against unacceptable credit losses arising
from breach of KRIs
- Monitoring covenant compliance and
account performance to ensure risk stays within agreed thresholds.
- Management of unit costs to ensure that
these are maintained within set budgets/targets
- Identify, cross-sell, and exploit
available opportunities that will translate to increased business and
revenue growth.
Internal business processes
(50%)
- Conduct quality appraisals using a range
of criteria including and not limited to the applicants business and
financial records, credit history, bank records, tax returns and other
credit-related data, stress-tested in the context of the operating (political,
economic, social, technological / digital, legal / regulatory and
environmental) landscape to ascertain the risk involved in extending
credit and the ability of the applicant to repay, and make recommendations
on the nature, structure and terms of the loan or line of credit that will
protect Loop DFS’s ability to recoup funds loaned at a profit based on the
applicants credit score and credit worthiness.
- Conduct due diligence on strategic
markets, partnerships, companies, industries, merchants and consumers by
collecting, researching and interpreting financial statements and market
data such as company financial statements, price developments, currency adjustments,
macro developments and yield fluctuations
- Design, develop and implement bespoke
financial risk processes including financial models for decision support.
- Design, automate and champion
implementation of customized risk processes, customer journeys and terms
of engagement for partnerships, consumer and merchant customers.
- Keep up to date with market developments,
new investment products and all other areas that can affect the markets,
e.g. movements in the economies of relevant countries
- Research and consider how the economic
implications of factors such as natural disasters, weather and wars might
affect the performance of the financial portfolios. Proper Environmental
and Social Monitoring (E&S) & reporting.
- Obtain required input from LOB Sponsors
on key issues; facilitating approvals and deal closure
- Draft and write advisory reports for LOB
Executives and other relevant stakeholders; this might include summaries
of research, investment ideas, key risks or events as well as key drivers
and projections
- Make recommendations to LOB Executives,
being able to position ideas and articulate to the Executives about the
risk or payoff for each recommendation
- Ensure that all regulatory and compliance
requirements are met.
- SLA adherence by all stakeholders and
adherence to agreed turnaround times
- Robust Covenant Monitoring to ensure that
all approved covenants are captured and tracked constantly
- Regular review of business to determine
applicability and suitability within the ever changing Digital Business
Lending environment
- Enhance a digital first Financial &
credit risk workflow process by championing continuous improvements
- Use of qualitative and quantitative
analytics to assess risk and identify opportunities that will influence
policy and process formulation.
- Interact directly and maintain good
rapport with Business teams and customers teams to deeply understand their
business models while protecting LDFS’ interests and following compliance
protocols
- Recognize and escalate decisions to the
Senior Manager when required as per underwriting policy
- Perform financial forecasting, variance
analysis, reporting, and operational metrics tracking, and make
recommendations
- Guide the cost analysis process by
establishing and enforcing policies and procedures
- Regular stakeholder training and capacity
development
- Satisfactory Audit/Risk and compliance
rating on data driven models and underwriting processes
Customer (30%)
- Work in close collaboration with the
Business Teams to achieve the following for assigned portfolios:
- Support New Business initiatives &
proposals for incorporation into product programs
- Engage Business partners in regular
asset quality reviews with provision of analytics insights to identify
risks/ opportunities and recommend relevant actions
- Support review of credit policies,
scorecards and program risk acceptance criteria regularly, with
analytical insights of portfolio trends & performance
- Monitor key portfolio performance trends
to ensure strong portfolio credit quality with a good balance of risk and
reward to optimize Business opportunities and in line with business
strategy and risk appetite.
- Support scorecard monitoring and
analysis; involve in the scorecard development, back testing as well as
validation of the score cut-off.
- Participate in digital initiatives and
drive continuous improvements in analytics capabilities using both
traditional and non-traditional data as well as enhancements in the use of
risk analytics tools.
Learning and Development (10%)
- Staff growth through coaching and
training – clearly identified training needs, leave and succession
planning.
- Self-development and training –
Participation in learning opportunities both on-the job and classroom
trainings available through the learning academy.
Job Specifications
Academic:
- University degree preferably in a
Business-Related field (Commerce, Business Administration, Economics,
Mathematics & Statistics and Finance).
- Proficiency and Practical experience in
credit underwriting, financial modelling, data analytics and use of
relevant MIS, BI & MS Office applications. Knowledge in statistical
computer languages e.g. SQL, R, Python is an added advantage.
- Professional Qualifications such as ACCA,
CPA, CIFA, AKIB etc will be an added advantage.
- Strong IT skills and experience with
office automation tools.
Desired work experience:
- 5 years banking experience with at least
3 years covering credit appraisals, credit portfolio management, risk
management and business analysis/informatics.
- Experience working with credit scoring
models/ credit decision engines is desired
- Experience working in a highly automated
environment.
Job Competencies
Technical Competencies
- Broad based working /operational
knowledge of banking and credit underwriting (breadth and depth).
Certification in multiple areas of credit risk management and/or banking
support services. Reference point and mentor for colleagues, partners, for
areas of expertise – Subject matter expert in business/corporate credit
risk underwriting in a highly automated environment.
- Skilled at qualitative internal and
external stakeholder interviewing and engagement.
- Excellent at deriving key insights and
patterns from stakeholder interviews and using that input to identify gaps
and clarify problem statements.
- Skilled at risk identification, mapping,
to break gaps down into quantifiable KRIs.
- Excellent at collaborating with Customer,
Product, Tech and Process flow Design to bring potential risk management
solutions to life.
- Candid knowledge of the financial sector
and risk management guidelines as well as current banking and fintech
operations practice.
- Excellent at breaking issues down into
risk points within product and process flow design.
- Deep familiarity with Loop DFS digital
products and the relevant business processes
- Excellent use case and requirements
development skills.
- Able to elevate performance of the Group
through excellent ORM outputs.
- A good understanding of all core
processes and knowledge of regulatory and statutory requirements.
- Strong financial modelling, analytical
and problem-solving skills with an emphasis on data science and risk
management.
- Experience working with and ideation and
creation of data architectures.
- Knowledge of a variety of machine
learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical
techniques and concepts (regression, properties of distributions,
statistical tests, Poisson distribution and proper usage, etc.) and
experience with applications.
- Excellent written and verbal
communication skills for coordinating cross functional teams.
- Proficiency in ISO 9001 2015 is highly
desired in regards to Quality Management System.
Behavioural Competencies
- Excellent planning and organizational
skills with ability to breakdown complex items to actionable elements.
- Relate easily and naturally with
executives, business managers, technical teams and customers. Has
excellent listening skills and understands the desires and challenges of
all our leaders and customers.
- Able to change plans, methods, opinions
or goals in light of new information, with the readiness to act on
opportunities. Highly effective in adapting to differing environments.
- Capable of developing a sound
understanding of the motives, needs and concerns of others and develop a
deep understanding of their complex stakeholder network. Can anticipate
the motives and expectations of others effectively.
- Self-motivated and self-managing.
How To Apply
