Fraud Investigations
Reporting to the Senior Manager, Fraud Investigations the individual is responsible for carrying out
Fraud Investigations, data analysis, Systems Forensic acquisitions &
analysis and manage customer fraud related escalations.
Data Scientist
HR Shared Services
We are pleased to announce the
following vacancy in the Ethics
and Compliance department within
the Corporate Security division. In keeping with our current business needs, we are
looking for a person who meets the criteria indicated below.
Brief Posting Description
Responsibilities
·
Lead/undertake fraud investigations
of cases handed over by the Fraud detection team as well as cases generated
from other sources e.g. ethics hotline, customer escalations, letters to the
CEO, Internal Audits etc.
·
Manage and strengthen bonds with Law
Enforcement Agencies, Criminal/Civil Justice system, Prosecutions agency and
other Industry & non-industry players to enhance co-operation on mutually
beneficial information, fraud investigations, asset tracing & recovery etc.
·
Manage a robust and risk-based
intelligence-gathering network in all areas of business.
·
Forensic acquisition, interpretation,
storage and presentation of electronic evidence from electronic devices.
·
Represent the company before court on
fraud related matters.
·
Propose, discuss and agree
recommendations to improve control weaknesses identified during investigations
and regularly follow up for their implementation.
·
Proactively conduct Fraud Reviews in
critical or high fraud risk areas across the business.
·
Analyse and monitor unusual data
patterns that may indicate fraud/ unethical conduct. Spot negative trends, and
potential risky behaviour.
Qualifications
·
Minimum education qualifications
required – Bachelor’s degree in a Business or Computing related discipline
·
Certification in a fraud related
discipline, such as Certified Fraud Examiner (CFE).
·
Certification in Digital forensics
and/or incident response will be an added advantage.
·
Proven hands on fraud investigations
experience in a financial environment for a minimum period of 4 years.
·
Knowledgeable in identifying
indicators of fraud through data-mining and analysis exercises.
·
Good knowledge of GSM network
business models and processes.
·
A conceptual thinker able to work
independently.
·
Good communication skills – written
and verbal – to succinctly present findings and communicate with a variety
business partners.
How to Apply
Data Scientist
We are pleased to announce the
following vacancy in the Big
Data and Business Analytics Department within the Business
Development Division. In keeping
with our current business needs, we are looking for persons who meets the
criteria indicated below.
Reporting to the Head of Big Data & Business Analytics, the position holder will lead the data science team to
create value from Safaricom’s vast amount and variety of data using advance
analytical and statistical methods and models to answer complex business
questions. This will serve to aid in decision making, unlock new revenue
opportunities and areas to create efficiency through deep insights.
The role requires deployment of
Artificial Intelligence driven by Safaricom’s data to create Machine learning
models and solutions to deliver specific business relevant use cases.
Safaricom is investing heavily in big data and this will be a truly exciting
role in view of the organizations unique data set and position in this region.
Responsibilities
·
Data mining using state-of-the-art
methods
·
Selecting features, building and
optimizing classifiers using machine learning techniques
·
Processing, cleansing, and verifying
the integrity of data used for analysis
·
Collaborate with business units and
engineering teams to understand and prioritize company needs and devise
possible solutions based on business use cases
·
Create various machine learning-based
tools or processes within the company, such as recommendation engines or
automated lead scoring systems to drive revenue or create cost efficiencies
·
Create visualizations using state of
the art visualization tools
·
Lead and manage data science team
Qualifications
·
BSC. or MS. in Computer Science,
Statistics, Mathematics or equivalent practical experience
·
2 – 4 years data science working
experience and with a leadership role.
·
Excellent understanding of machine
learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision
Forests
·
Experience with common data science
toolkits, such as R, Weka, NumPy, MatLab
·
Experience with data visualization
tools, such as D3.js, GGplot
·
Experience with NoSQL databases, such
as MongoDB, Cassandra, HBase
·
Good applied statistics skills, such
as distributions, statistical testing, regression
·
Good scripting and programming skills
·
Good understanding of big data
technologies like Hadoop
·
Strong communications and
interpersonal skills and quick grasps to understand business problems
How to Apply
HR Shared Services
We are pleased to announce the
following Senior Manager – HR Shared
Services at Safaricom. In
keeping with our current business needs, we are looking for a person who meets
the criteria indicated below.
Brief Description
Reporting to the Head of HR Shared Services – Tribe Lead, the position holder will be responsible
for operationalizing an inspiring employee experience by driving
simplification, automation and digitization of the employee life cycle. In so
doing, the role holder is the Product Owner of the Internal-CARE ( I-CARE)
squad.
Responsibilities
The Product Owner maximizes value by
delivering the product vision and defining the epics and user stories to work
on, owning, defining and prioritizing the product backlog of the Squad and accepting
deliverables at the end of each sprint
·
Defines the product vision and
coordinates with the Tribe Lead and other Product Owners;
·
Focuses the team on delivering
business value in regular increments;
·
Responsible for defining and tracking
Objective Key Results (OKRs) and KPIs as part of the quarterly business reviews
(QBR) process;
·
Using data, develops and defines user
stories / items and acceptance criteria from the feature and capability
roadmap;
·
Contributes to the squad with
relevant product knowledge in the development of tasks;
The product owner drives the
Simplification(S), Automation(A) and Digitization(D) of HR processes so as to
deliver an inspiring employee journey (Joiner, Mover, Leaver)
·
Resourcing plan (S+A)
·
Recruitment ( A)
·
Selection (A)
·
Perfect day one (A+D)
·
Onboarding/induction(S+A+D)
·
EVP ( D)
·
Performance management( A)
·
Learning & Development (A)
·
Talent Management ( A)
·
Reward ( A+D)
·
Internal moves (A)
·
Employee relations ( S+A+D)
·
Employee assistance programme (S+A)
·
Fleet & travel (A+D)
·
Customer service ( S+A+D)
·
Physical work environment (D)
·
Voluntary exit ( S+A)
·
Involuntary exit (S+A)
·
Pension (S
Participate in design by giving
input, build and test, implement and roll-out, and optimize a HR Shared
Services centre
Qualifications
·
Bachelor Degree in Business,
Technical or Human Resources Field
·
Professional qualifications will be
an added advantage
·
Demonstrable experience in operating
a Shared Service Centre.
·
Minimum of 5 year- experience in
Human Resource management
How to Apply