Senior Officer, Fraud Strategy and Analytics

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Company Details
Industry: Information Technology and Services
Description: Safaricom is the leading provider of converged communication solutions in Kenya. In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects. With over 29 Million subscribers and an estimated market share of 67%, the Company has the widest modern mobile network coverage in Kenya and prides in its experienced shareholders, attractive tariffs, a nationwide network of effective dealers, high caliber staff and management enabling it to maintain its position as the region’s mobile market leader.
Job Description

Responsibilities

 

Uphold the company code of conduct, policies and procedures, ensuring integrity and accountability in every aspect of your work.

 

All employees have a responsibility to adhere to safety, health, and wellbeing  policies, guidelines and procedures in all actions and decisions.

 

Fraud Detection

 

Develop and correlate insights on current and emerging fraud trends and derive critical information to aid in decision making and performance benchmarks for fraud controls.

 

Support in the development and optimization of fraud rules and models in response to current and emerging fraud trends.

 

Support integration and optimization of fraud automations with business systems, and required data feeds aimed at improving detection ability and control environment.

 

Setup of tracking mechanisms to monitor fraud KPIs and conduct deep dives geared towards success of the fraud initiatives within strict timelines.

 

Collaborate with the various squads towards implementing short to medium term fraud controls

 

Active participation in fraud reviews and other fraud monitoring initiatives.

 

Risk Analysis and Audit

 

Practice and collaborate on Risk assessments for products and services with internal stakeholders.

 

Continuous assessment and evaluation of Fraud control suitability and approach to specific customer fraud risk areas.

 

Build and maintain relationships with internal and external stakeholders required for supporting execution of the tasks to manage customer safety and security on fraud.

 

Forensic Reviews and Investigation

 

Execution of Forensic reviews across Business risk areas.

 

Articulate required fraud controls to be inbuilt in products, services and processed with on-time and on-demand analytics to support Agile product development.

 

Data Analytics and Mining

 

Work closely with Data Science teams towards delivery of short to medium term development  of fraud analytics models to address prevention of fraud in GSM, MPESA and new product areas.

 

Provide insights on customer pain areas to address gaps in Product design, processes that expose customers to Fraud.

 

Develop insights on current and emerging customer fraud trends and fraud risk areas into actionable use cases.

 

Active participation in all fraud monitoring activities.

 

Create fraud solution use cases and detailed product roadmap documents to articulate desired features and functionalities of the desired Fraud architecture and functionalities.

 

Track and analyze frontline metrics for Demand.

 

Identify gaps and opportunities for addressing triggered and untriggered demand management interventions.

 

Support front line teams with required insights on demand and collaborate on first time resolution of demand.

 

Automation, Reporting and Tooling

 

Define risk based automation and reporting requirements for monitoring of fraud solutions KPIs for all products and services.

 

Deliver continuous insights on Worry Free Initiative to elevate it to a breakthrough  Financial Services Industry innovation.

 

Develop and maintain integrated reports within  the function to capture well defined performance metrics for rules, AI models and Demand Management.

 

Work closely with other business stakeholders on reporting unification for Corp Security Demand

 

Develop insights from 24-7 monitoring to drive use cases for automation and controls refresh.

 

Core competencies, knowledge and experience:

 

Customer Obsession

 

Deepen team connection to our customers and communities.

 

Foster authentic relationships with customers and partners that build trust.

 

Explicitly take customer-centric decisions and take personal ownership to achieve results.

 

Simplify processes through digitalisation and promote a digital mindset and digital first customer experience.

 

Stay focused on the big priorities, know when to make meaningful trade-offs and demonstrate brilliant execution.

 

Purpose

 

Create an inspiring vision for your team to drive strategy and performance.

 

Show ambition and courage, empowering others to go beyond the plan.

 

Bold and challenge teams to reimagine how things are done.

 

Prompt new thinking and ideas by asking “what if” questions.

 

Use knowledge of the external environment (customers, partners, competition, external bodies) to identify and act on opportunities for growth at pace.

 

Innovation

 

Create psychological safety so everyone can have an impact.

 

Fuel innovative ideas from others and test them to enable growth.

 

Explore successes and failures with curiosity and resilience; fearlessly recognizing lessons learned.

 

Share your ongoing learning and personal purpose with others.

 

Learn fast from digital adoption, using learnings to drive simplicity, scale and efficiency

 

Collaboration

 

Articulate your team’s role in making our strategy happen, prioritizing and aligning resources with current and future needs.

 

Actively collaborate to break silos and hold your team accountable to do the same.

 

Develop others to make the most of their talents and coach them to take ownership to get things done.

 

Create an inclusive environment ensuring the safety and wellbeing of others.

 

Live our Purpose and demonstrate the highest Standard of integrity.

 

Qualifications

 

Relevant degree in Business, Engineering or IT Undergraduate Degree or relevant field along with professional qualifications.

 

Professional certification in AI, Data Science, Fraud Examination, Auditing, IT Security.

 

Competencies in software development/ data extraction technologies and platforms e.g. {C#, Java, Python, C, C++, Objective C, Flutter, Oracle, MySql, Sql Server,Nosql Databases,Virtualization Using Docker, Linux and Windows Administration, ETL,  Soap/Restful Web Services, USSD, SMPP, Cloud Computing using AWS/Azure}.

 

Understanding of Agile Methodology, Machine learning, Bot development, Penetration Testing, QA, Project Management, Micro services, SANs security compliance, and Technical documentation.

 

At least 3 years as a software engineer/developer or data science experience.

 

Proficiency in data analysis and trend profiling using big data technologies such as Apache Hadoop,Apache spark, or Power BI.

 

Ability to work in complex environments and multiple projects simultaneously with strict deadlines to deliver on commitments.

 

Highly developed interpersonal and communication skills.

 

Possess high professional and ethical standards.

 

 

 

Education: Degree, Diploma
Employment Type: Full Time

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