Assistant Risk Analyst

Role overview

This position sits within a risk analytics environment and focuses on strengthening anti-money laundering oversight, fraud detection, operational risk visibility, and compliance monitoring. The role works across multiple business lines, using data, automation, and advanced analytics to detect emerging threats, improve controls, and support regulatory readiness.

AML transaction monitoring and pattern detection

You will help run AML monitoring programs across business verticals by building smarter detection logic for suspicious transaction activity such as layering and structuring. The role includes setting up automated alerting, fine-tuning thresholds to improve detection quality, reviewing scenario performance, and updating rules in line with new typologies and regulatory expectations. Coordination with Compliance and Legal teams for suspicious transaction reports and related submissions is also part of the work.

Fraud analytics and anomaly detection

The role involves creating fraud analytics frameworks for both real-time and batch detection across insurance claims, investment transactions, digital lending applications, payment transactions, and super app journeys. You will develop machine learning models to spot anomalies, identity fraud, account takeover attempts, unusual transaction behavior, and application fraud, while also building customer behavioral profiles and automated fraud scoring approaches.

Operational risk dashboards and automation

You will design and maintain dashboards that provide live visibility into risk metrics, control performance, and emerging trends. The work includes automating recurring reporting for key risk indicators, control testing, incident tracking, and risk event analysis. The role also calls for building self-service analytics access for business and risk users, plus predictive models that help identify control weaknesses, process issues, and likely operational failures ahead of time.

Compliance risk analytics and reporting

This role supports data-led compliance monitoring across business verticals by tracking regulatory obligations, key deadlines, breach events, and fulfillment status. You will create dashboards and reporting packs for senior management, board-level forums, and regulatory needs, while also assessing the effect of changing regulations on existing monitoring structures and recommending improvements where needed.

Control insights, reporting, and recommendations

A key part of the job is turning control testing and monitoring outputs into practical business insights. You will perform root-cause analysis for failures, breaches, and risk events, then translate those findings into recommendations for stronger controls and better processes. Executive-ready presentations and ongoing feedback loops are also expected to ensure corrective actions are implemented and validated.

Cross-functional analytics collaboration

You will work closely with teams across insurance, investments, digital lending, payments, and super app businesses to understand their risk profiles and analytics needs. The role also requires regular coordination with IT, data engineering, internal audit, compliance, legal, and regulatory affairs for data integration, platform support, audit assistance, validation, and response preparation.

Advanced analytics and machine learning applications

The position expects hands-on exploration of modern analytics techniques such as machine learning, artificial intelligence, and predictive modeling for risk detection. You may build unsupervised models to surface unknown patterns, supervised models for classification and scoring, and NLP-based tools for reviewing unstructured data like customer communications, complaints, and documents. Keeping pace with regulatory technology trends and analytics tool advancements is also important.