Senior
Data Scientist Location:
Woodstock, Cape Town Salary:
R85k per month About
the Role: As
a Senior Data Scientist, you will play a pivotal role in assessing, analyzing,
and mitigating risks within our company. You will be responsible for overseeing
and completing the full model development cycle, from extracting data up to
presenting findings to relevant stakeholders. This position requires a keen understanding
of data and modelling standards and principles, credit scoring principles and
machine learning techniques.
Requirements: Degree
in mathematics, statistics, data science, or a related quantitative field.
At
least 5 years of experience in credit data science within retail, insurance or Financial
Services.
Strong
understanding of credit risk models and advances in machine learning techniques
that could be applied in the field of credit scoring.
Strong
understanding of IFRS9 principles and their application to credit risk management,
including Expected Credit Loss (ECL) calculations and impairment assessment methodologies.
Strong
analytical skills with the ability to interpret complex financial and trade
data and make informed decisions.
Excellent
communication and presentation skills, with the ability to convey complex concepts
to non-technical stakeholders.
Proven
leadership abilities with experience in guiding and mentoring junior team members.
Ability
to thrive in a fast-paced, dynamic environment and manage multiple priorities
effectively.
Familiarity
with SME lending practices and challenges, including industry-specific
Risk
factors, is highly desirable.
Proficiency
in software tools such as Databricks, SQL, R, or Python
Responsibilities: Monitor
the performance of SME portfolios, identifying trends and potential risks, and recommending
appropriate risk mitigation strategies.
Managing
the strategic direction of the portfolio by balancing both risk and sales
objectives Oversee and take part in the development and maintenance of risk
models and methodologies to quantify and
manage credit risk exposure.
Building
scorecards and other credit risk models within the credit lifecycle.
Collaborate
with cross-functional teams including finance, operations, and compliance to
ensure alignment with risk management objectives.
Prepare
and present reports to senior management, highlighting key risk metrics,
trends, and recommendations.
Develop
stress testing scenarios and sensitivity analyses to assess the resilience of
the SME portfolio under various economic conditions.
Stay
updated on changes to regulatory frameworks, particularly IFRS9 requirements,
and ensure compliance in credit risk management practices and reporting.
Provide
guidance and mentorship to team members, fostering a culture of continuous
learning and development within the team.