Fraud Analytics Specialist
World Bank Group, Washington, United Kingdom
Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. Visit www.worldbank.org.
As part of the World Bank Group (WB), the Integrity Vice Presidency (INT) shares in the WB's overall mission in alleviating poverty and achieving a shared and sustainable prosperity in client countries. INT's fundamental role within the WB is to help detect, prevent, and deter fraud and corruption in the use of the WB's financial resources, so that those resources are used effectively to benefit the poor people that they are intended to reach.
Duties and Responsibilities
The Fraud Analytics Specialist (FAS) will play a critical role in advancing the WB's Integrity Vice Presidency (INT) mission by enhancing data-driven applications for integrity risk management. This role will focus on spearheading fraud and forensic analytics initiatives that significantly boost INT's operational effectiveness and collaborate with INT Data Lab team lead to build and monitor data pipelines using Extract, Transform, Load (ETL) techniques. The FAS will be responsible for developing statistical models and tools that can help identify patterns of misconduct, assess risk factors, and provide actionable insights to prevent fraud and corruption in World Bank-financed operations.
Selection Criteria
* Advanced university degree, or equivalent, in computer forensics, computer science, data science, information technology (such as software engineering, data engineering, cloud engineering, cybercrime, etc.) or economics, mathematics, statistics, accounting, finance or law with suitable certifications in data science.
* At least 5 years of experience in data analytics, fraud analytics, especially analytics involving governance, risk management, integrity issues, etc.
* Relevant academic background and/or demonstrated professional experience in fraud anomaly detection, prevention, and deep dive data analytics.
* Relevant technical experience (i.e., in Python, SQL, Machine Learning) are highly desired.
* Strong communications and technical writing skills.
* Strong team player and collaborator, with the ability to conduct daily duties autonomously.
The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
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