Start Date
Immediate
Expiry Date
18 Nov, 26
Salary
0.0
Posted On
20 Aug, 26
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Consumer Services
Onmo believes that everyone has the right to access, understand and manage their money withconfidence. Our ambition is to improve lives by providing better clarity, intelligence and technology to empower every individual in making the smartest financial decisions. We may be young but we have an incredible team in place and big ambitions for the years ahead.We design our products to help demystify money matters wherever possible, providing customers with more financial control and flexibility in their lives. This helps them get more from what they have, or with smart decisions, make more of the same. It also means people spend less time with the negative aspects of money and more on the positive - enjoying what the world has to offer.
Onmo is looking for a Fraud & AML Data Analyst to support the Fraud & Financial Crime function with high-quality analysis, reporting and insight. You will help identify emerging risks, analyse fraud and AML trends, support rule tuning, and provide the data needed to strengthen our fraud and FC controls.This role is key in helping the team make informed decisions, reduce losses, and improve our overall detection capability.
You must act with integrityYou must act with due skill, care and diligenceYou must be open and cooperative with the FCA, PRA and other regulatorsYou must pay due regard to the interests of customers and treat them fairlyYou must observe proper standards of market conduct
ABOUT YOU• Strong analytical mindset with an ability to translate data into meaningful insight• Experience working with SQL to extract and analyse data• Ability to work with multiple stakeholders and communicate findings clearly• Attention to detail and comfort working with complex datasets• Understanding of fraud signals, risk scoring, TM alerts or AML trends is desirable• Proactive, curious and comfortable working in a fast-paced environment
QUALIFICATIONS / EXPERIENCE• Proven experience using SQL (required)• Experience in fraud, AML, risk analytics or financial services preferred• Experience building dashboards• Understanding of fraud, AML or financial crime data desirable• Experience testing rules desirable