Financial Crimes Compliance Data Analyst

Unchain Data; Manila; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

Remitly is seeking a seasoned Financial Crimes Analyst in Manila to lead data analytics for AI-powered detection systems, identifying money laundering, fraud, and sanctions violations while upholding strict compliance standards.

You will work with the Fin Crimes Compliance team to test and refine monitoring inputs, analyze high‑risk transactions, build dashboards, and partner with Identity & Trust, Legal, and Operations to prevent financial crime while ensuring a positive customer experience.

Qualifications

• 4+ years in AML/CFT transaction monitoring analytics, fraud/risk analytics, or data analysis roles.
• Expert in SQL and proficient in Python or R for data analysis.
• Experience with AML/CFT detection strategies, risk scoring, and related metrics.
• Experience with data visualisation tools like Tableau or similar.
• Clear communicator with the knack for simplifying complex data insights for business stakeholders.
• Bachelor's or advanced degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, etc.)
• Substantive knowledge of AML and fraud regulations and related typologies within the fintech industry.

Responsibilities

• Oversee and refine AI-driven transaction monitoring systems to identify suspicious activities, utilizing both vendor and in-house platforms.
• Lead in-depth analyses of high‑risk transactions and customer behaviors, employing tools to uncover hidden patterns and anomalies.
• Collaborate with Identity & Trust teams to conduct testing for fine-tuning machine learning models, enhancing detection accuracy and reducing false positives.
• Ensure adherence to AML and sanctions regulations and guidelines, staying abreast of evolving compliance requirements.
• Work closely with compliance, legal, Identity & Trust, and operations teams to develop and implement strategies for financial crime prevention.
• Create metrics and dashboards used to confirm our systems are working and to understand what customers are experiencing.
• Distill business problems from discussions, develop hypotheses, building analytical frameworks, carrying out analyses, and writing clear recommendations.
• Design experiments, read A/B tests, and perform ad hoc analyses.

Skills

AML/CFT analytics

SQL

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

Python

R

Tableau

Job description

About Us

Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. Today, we are proud to have served millions of customers globally with Remitly and our newly launched Passbook app to provide immigrants access to banking. We strive daily to meet our promise to our customers by building peace of mind into everything we do.

About the Role

Our Risk and Compliance teams are a cornerstone of our business. We are seeking a seasoned Financial Crimes Analyst to lead sophisticated data analytics for ongoing and enhancing AI-powered detection systems. This role is pivotal in identifying and mitigating complex financial crimes, including money laundering, fraud, and sanctions violations. The ideal candidate will possess deep expertise in financial crime analytics and a strong proficiency in leveraging AI and machine learning tools to detect and prevent illicit activities.

As an online money transmitter, Remitly is growing while maintaining high customer service, performance and compliance standards. Remitly is a licensed financial services company in several jurisdictions. Each of these jurisdictions requires, among other items, that Remitly maintain a comprehensive Anti-Money Laundering/Counter-Terrorist Financing transaction monitoring program.

The ideal applicant for this role will have an excellent level of compliance and analytical experience identifying trends and patterns and being comfortable with different tasks and projects will be a key part of the role. This role is based in our office in Manila.

Responsibilities

Work within a compliance focused function within the Fin Crimes Compliance team. This function will assist by reviewing and testing existing transaction monitoring inputs for effectiveness, analyzing unusual activity within customer profiles that may be related to money laundering or fraud and leverage this information for evaluating existing Transaction Monitoring features. Identify customer-related trends, patterns and issues associated with money laundering, terrorist financing and other unwanted and fraudulent transaction activity.

• Oversee and refine AI-driven transaction monitoring systems to identify suspicious activities, utilizing both vendor and in-house platforms
• Lead in-depth analyses of high-risk transactions and customer behaviors, employing tools to uncover hidden patterns and anomalies
• Collaborate with Identity & Trust teams to conduct testing for fine-tuning machine learning models, enhancing detection accuracy and reducing false positives
• Ensure adherence to AML and sanctions regulations and guidelines, staying abreast of evolving compliance requirements
• Work closely with compliance, legal, Identity & Trust, and operations teams to develop and implement strategies for financial crime prevention
• Create metrics and dashboards used to confirm our systems are working and to understand what customers are experiencing
• Distill business problems from discussions, develop hypotheses, building analytical frameworks, carrying out analyses, and writing clear recommendations
• Design experiments, read A/B tests, and perform ad hoc analyses

Requirements

• 4+ years of experience in AML/CFT transaction monitoring analytics, fraud/risk analytics, or data analysis roles
• Expert in SQL and proficient in tools like Python or R for data analysis
• Experience with AML/CFT detection strategies, risk scoring, and related metrics
• Experience with data visualisation tools like Tableau or similar
• Clear communicator with a knack for simplifying complex data insights for business stakeholders
• Bachelor's or advanced degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, etc.)
• Substantive knowledge of AML and fraud regulations and related typologies within the fintech industry
• Experience working in a compliance driven environment while ensuring a positive customer experience

Nice to Have

• Experience with blockchain analysis and unsupervised and semi-supervised anomaly detection models

Integral Behaviors

• Curiosity (continuously improve, data driven & sweat the details): You want to learn and understand how and why things work the way they do
• Collaborative (Compassionate partner): While being self-sufficient you appreciate and understand the benefits and impact of working together. You treat everyone with respect and compassion
• Detail oriented (Data Driven): The details matter. You can dig deep to get the information you need and can articulate effectively
• Efficient (Bias for action): You know how to prioritise and when to act often with many tasks at once
• Compassionate (customer centricity): You assume positive intent and work towards serving our customers & supporting your colleagues best interests at all times
• Be a role model (Earn trust through integrity): You will lead by example and with integrity while working with your team and the broader business
• Knowledge sharing (Constructively direct): Giving and receiving feedback is a large part of what you do. You will use your experience to assist your colleagues in a constructive way

Remitly is a group of passionate people working to make international payments easier and more transparent on both the web and mobile devices. We are seeking team members to join us that want to make a difference and change an industry. We pride ourselves on aiming high and delivering results, data being at the heart of everything we do, and encouraging our team to own business decisions and outcomes.