AML Analyst

Ziina’s mission is to bring financial freedom to every person in the Middle East. We are building MENA’s consumer and SMB financial platform, starting with a peer-to-peer and merchant wallet. Our team have backgrounds from Apple, Uber, Stripe, Klarna, Revolut, Yandex, and Nubank. Ziina’s payments volumes have grown by 10x YoY for the last two years. The team have built a product that is beloved by the UAE with a 4.8 star rating in the app store and is the recipient of 8 international design awards, including the Red Dot Award and the UX Design Award.

Our last round was a $22 million Series A from top-tier investors globally including Altos Ventures, Fintech Collective, Activant, Long Journey Ventures and Y Combinator. Our angel investors include early employees and executives at Revolut, Stripe, Venmo, Brex, Checkout.com, Notion, and Deel.

We’re looking for an AML Analyst to help protect Ziina’s platform from money laundering, terrorist financing, proliferation financing, and financial crime abuse as we continue to scale.

This role is ideal for someone who combines strong investigative skills with a risk-based mindset, and who understands that AML is not just about case handling, but about continuously improving controls, reducing risk exposure, and enabling safe growth.

You’ll work closely with Fraud, Risk, Product, and Compliance teams, handling AML cases end-to-end while contributing to process improvements and automation initiatives.

• AML Case Investigations: Review and investigate transaction monitoring alerts, unusual activity, and high-risk behaviors across consumer and merchant accounts

• Risk-Based Assessments: Assess customer activity against expected behavior, KYC/KYB profiles, and known typologies

• STR/SAR Preparation: Draft high-quality internal STR/SAR and other AML reports, escalate the cases to second line of defense when reporting is required.

• Red Flag Identification: Identify AML red flags, emerging typologies, and potential predicate offenses

• Policy Adherence: Ensure investigations are conducted in line with internal policies, regulatory expectations, and local AML/CFT requirements

• Continuous Improvement: Identify gaps or inefficiencies in AML workflows and propose improvements

• Cross-Functional Work: Partner with Fraud, Product, Engineering, and Operations teams to reduce AML risk upstream

• Automation Support: Contribute to initiatives aimed at automating AML reviews and improving monitoring quality

• Trend Analysis: Analyse historical cases to identify trends, patterns, and risk drivers

• Documentation Excellence: Maintain clear, structured case notes and investigation summaries suitable for audit and regulatory review

• Metrics & Reporting: Support AML reporting and dashboards to provide visibility on risk exposure and operational performance

• 2+ years of experience in AML, financial crime investigations, and transaction monitoring within fintech, payments, or financial services

• Strong understanding of AML/CFT/CPF concepts, risk-based investigations, and transaction monitoring

• Experience reviewing alerts, investigating unusual activity, and documenting outcomes clearly

• Ability to work independently and take ownership of cases in a fast-paced environment

• Strong written communication skills in English, Arabic is a Plus.

• Ability to analyse large datasets and identify patterns, trends, and anomalies

• You see AML as a preventive and strategic function, not just case handling

• You naturally think in risk trade-offs and customer impact

• You proactively flag emerging risks before they become incidents

• You’re comfortable operating with ambiguity and building structure as you go

• You take ownership and don’t wait to be told what needs fixing

• Experience with regulatory reporting tools such as goAML

• Experience working with data to support investigations (SQL/Python)

• Experience in high-growth fintech or payments environments

• Knowledge of CBUAE AML/CFT/CPF regulations and regional typologies

• Professional certifications (CAMS, ICA, CFCS)

• Arabic language proficiency