Financial Crime Analyst
at Emma TechnologiesAbout the job
Emma is the app to manage all things money.
Our mission is to empower millions of people to live a better and more fulfilling financial life.
Emma was founded by engineers, who are extremely focused on coding, product and data. These are the three pillars on which we want to build a strong tech culture and fix personal finance once for all.
We have raised more than $8m+ to date to build the one stop shop for all your financial life. Our investors include Connect Ventures (investor in Curve, TrueLayer and CityMapper), Kima Ventures, one of the first in Transferwise, and Aglae Ventures, early stage fund of the Groupe Arnault, investor in Netflix and Airbnb.
Alongside them, several angel investors, who have built and sold industry leading companies have decided to take part into this journey.
At Emma, we are:
- Bold
- Determined
- Focused
- Autonomus
We are a high-performance team and we run the company like a professional sports team. We expect each and every team member to move fast, have ownership over their work and hold each other to a high standard.
If you’re not driven to own your work, execute swiftly, and innovate constantly, this isn’t the right place for you.
Responsibilities:
- Investigate and prevent financial crime using advanced tools to detect and respond to suspicious activities
- Handle sensitive customer inquiries with empathy and professionalism, ensuring timely and effective resolution
- Conduct KYC checks to support the customer onboarding process and ensure regulatory compliance
- Screen customers for PEP and sanctions to identify and mitigate financial crime risks
- Collaborate with internal teams including compliance, engineering, and customer support to strengthen fraud detection and prevention measures
- Enhance fraud detection systems by identifying process gaps and recommending system improvements
- Contribute to process improvements and help shape the future of Emma’s financial crime prevention strategy
Who we are looking for:
- 2+ years of experience in Fraud, AML, KYC, or related operational roles within financial services or fintech
- Experience with KYC checks and screening customers for PEP and sanctions lists
- Strong technical skills in working with CRM systems, investigative tools, and screening platforms
- Critical thinker and problem solver with the ability to assess risks and make sound decisions under pressure
- Customer-centric mindset with excellent communication skills to handle sensitive customer inquiries
- Proven ability to collaborate with cross-functional teams to improve fraud detection and operational efficiency
- Adaptability and flexibility to thrive in a fast-paced fintech environment and support weekend coverage as required
- Passion for financial crime prevention with a desire to stay ahead of emerging fraud and AML trends
- You want to be part of an amazing team
- You are excited by what we’re building at Emma
Our process:
- Phone call with internal recruiter
- Take-home test
- 2nd call with a member of the team
- Onsite interview with CEO
Our benefits:
Paid Sick Leave
Pension Contribution
Referral Scheme
Emma Ultimate Subscription
MacBook
Annual Salary Review
Discounted Gym Membership
Perks at Work
Eye Care Vouchers
Cycle to Work Scheme
One-month sabbatical every 5 years
Regular Socials
To facilitate communication, productivity and speed, we work from the office Monday to Friday and this is not a hybrid role. If you are not able to commit, please don’t apply. We are not flexible.
Our office address is: 49-51 Central Street, London, England, EC1V 8AB.
May the gummy bear power be with you!
Job Type: Full-time
Pay: £35,000.00-£45,000.00 per year
Benefits:
- Company events
- Company pension
- Referral programme
- Sick pay
Schedule:
- Monday to Friday
Ability to commute/relocate:
- London EC1V 8AB: reliably commute or plan to relocate before starting work (required)
Education:
- Bachelor’s (preferred)
Work authorisation:
- United Kingdom (required)
Work Location: In person
Reference ID: Financial Crime
Emma Technologies
Classification:
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