Assistant Manager Risk Analytics

About Us

JOB DESCRIPTION

Network International is the largest Financial Technology company in the Middle East and Africa. Payments is our core business where we provide services in more than 50 countries – UAE, Jordan, South Africa, Egypt are some of our key markets. Apart from payments, we provide services on Data and Insights, Lending, Insurance, Risk Solutions, etc. Our core customers are businesses at every scale and segment, though recently we have been growing in the direct-to-consumer card segment as well.

Our EVP

At Network International, we always stay ahead. . In the fast-paced world of financial services, we thrive on innovation, agility, and purposeful collaboration. We invest first in our people, empowering you to make bold decisions, learn fast, and grow your expertise alongside industry leaders. Here, solving complex problems means more than using cutting-edge technology; it’s about creating meaningful value for our customers, together. We foster a culture where trust, accountability, and achievement go hand in hand—because success isn’t just a goal; it’s how we work, every day, as one team.

About The Role

The Assistant Manager, Risk Analytics is responsible for supporting and Risk, AML &Compliance teams through data analytics, reporting, dashboarding, and automation. The role focuses on developing accurate, timely, and scalable AML data outputs to support management reporting, and regulatory data submissions. The position requires close collaboration with AML, Technology, and Risk Analytics teams to ensure high data quality, analytical consistency, and audit‑ready reporting, while operating in a highly regulated environment.

Responsibilities

Key Responsibilities:

• Develop, maintain, and enhance dashboards, MIS reports, and analytical trackers to support operational and management oversight.
• Automate recurring reports and performance metrics, reducing dependency on manual Excel‑based processes.
• Ensure data accuracy, completeness, consistency, and reconciliation across all Risk & AML analytics outputs and reports.
• Integrate data from multiple internal systems into consolidated reporting and analytical views.
• Perform transaction monitoring analytics, including alert trend analysis, scenario‑level performance metrics, and threshold impact analysis.
• Support regulatory reporting by compiling datasets from multiple systems accurately
• Execute ad‑hoc analytical reviews and thematic data analysis in response to Risk, AML, audit, or regulatory data requests.
• Maintain structured AML datasets, documentation, and audit trails to ensure outputs are traceable and reproducible.
• Identify data anomalies, trends, and outliers, escalating observations to senior team members for review.
• Assessment and rationalization of threshold settings and scenario mappings across products, channels, and risk segments.
  
  

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Finance, or a related quantitative discipline.
• 3–6 years of hands‑on experience in data analytics, reporting, or MIS roles, preferably within Risk, AML, Compliance, Fraud, or Financial Services environments.
• Strong experience in dashboarding, MIS reporting, and analytical tracker development for operational and management oversight.
• Proven capability in automating recurring reports and performance metrics, with demonstrated reduction of manual, Excel‑driven processes.
• Strong proficiency in Analytics tools such as Python, R, and BI tools (e.g., QlikSense, Power BI, Tableau, or similar).
• Experience working with multiple internal data sources/systems and integrating them into consolidated analytical and reporting views.
• Solid understanding of data validation, reconciliation, and quality controls to ensure accuracy, completeness, and consistency of analytics outputs.
• Working knowledge of transaction monitoring data and related metrics, including alert trends, scenario‑level performance, and threshold impact analysis (analytics perspective).
• Strong analytical mindset with the ability to identify data anomalies, trends, and outliers and clearly communicate observations to senior stakeholders.
• Good stakeholder management and communication skills, with the ability to work effectively with Risk, AML, Technology, and Assurance teams.