Job Title: Data Scientist, Credit
Hiring Organization: Safaricom
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Telecommunication
Job Type: Full Time
Salary: KES
Date Posted: 05/29/2024
We are
pleased to announce the Data Scientist, Credit vacancy in the Big Data &
Analytics Chapter. In keeping with our current business needs, we are looking
for a person who meets the criteria indicated below.
Brief
Posting Description
The role
holder will be responsible for building scalable ML-based credit scorecards and
AI systems to solve real-world problems within the credit risk space. The
position will report to the Lead data scientist, receiving support to grow
their craft and learn from industry experts.
Responsibilities
Below are
the key skills and competencies required to be successful in this role:
Automated AI Modelling:
Ability
to creatively solve business problems by building AI systems.
Leverage
understanding of credit processes (including credit origination, portfolio
monitoring, credit line assignment, loss forecasting, and others) to design
flexible, scalable, and automated modelling solutions.
Show a
propensity to collaboratively work with the larger team in the AI tribe to
productionize AI algorithms.
Being
able & willing to stretch yourself to work on other data science projects
outside of the credit space.
Proactively
disrupt current credit risk practices using Generative AI (GenAI).
Statistical
& ML Modelling:
Demonstrate
competency in utilizing advanced statistical and machine learning methods and
technologies to deliver best-in-class models to support risk decision making.
Developing
code and automated processes to manipulate high volume, high dimensional data
sources, including alternative data, to extract informative patterns, perform
exploratory analyses and engineer useful features.
Experience
computing and modelling PD, LGD, EAD, ECLs and general credit risk modelling
and validation for IFRS 9
Programming
Languages and Big Data Technologies:
Strong
hands-on programming skills in Python and/or R.
Solid
hands-on knowledge of SQL
Practical
skills in GIT version control.
Knowledge
Hadoop/Hive, Spark, and/or Scala is a plus.
Experience
building data visualizations with be an added advantage.
Experience
in cloud technologies, generative AI techniques, will be an added advantage.
Behavioural
Competencies:
Proactively
identify and communicate challenges, opportunities, and risks associated with
project work to ensure timely completion of the entire product.
A
self-driven and creative mindset to apply AI methods to solve real issues.
Ability
to provide effective leadership and guidance to junior data scientists.
Excellent
communication skills with the ability to document solutions effectively.
An
analytical mindset to identify patterns and insights from data and business
processes.
The
ability to collaborate with cross-functional teams to assess business needs and
develop AI solutions.
A
problem-solving aptitude.
Experience
& Education you should possess:
A degree
in Statistics, Mathematics, Data Science, Computer Science, or a related field.
At least
4 years of experience in building credit scorecards, AI systems within the
credit risk space.
Experience
in cloud technologies, generative AI techniques, will be an added advantage.
An MSc in
a data science related discipline will be an added advantage.
Work
experience in a lending environment or fintech environment will be desirable
