FinCrime Data Analyst

Description

Curve was founded with a rebellious spirit, and a lofty vision; to truly simplify your finances, so you can focus on what matters most in life.

That’s why Curve puts your finances simply at your fingertips, so you can make smart choices on how to spend, send, see and save your money. We help you control your financial life, so you can go out and live the life you want to live.

With Curve you can spend from all your accounts, track spend behaviour and provide insights, and security to protect you from fraud. For the first time giving you bright insights and control of all your money in one beautiful place.

We’re developing a ground-breaking product with our customers at the core. Our user base is growing rapidly and we have exceptional metrics. We have funding from the leading names in tech investment, and a visionary leadership team who wants everyone who joins this remarkable adventure, to have the autonomy to masterfully develop their expertise.

Welcome to Curve. On a mission to help you live inspired.

As a FinCrime Data Analyst, you will play a crucial role in identifying and mitigating financial crime risks within our organisation. Your primary responsibilities will involve analysing large datasets to detect suspicious activities, making updates and improvements to the data warehouse, developing models to predict potential threats, and collaborating with various teams to implement effective countermeasures.

You will be expected to utilise analytical tools and techniques to analyse patterns and develop solutions to combat the risks you uncover. Your insights and recommendations will directly influence our strategies to combat financial crime and reduce financial losses.

This role sits within an Intelligence team, and you will work closely with the wider Financial Crime teams, as well as the various Data teams. Strong analytical skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders are essential for success in this position. A background in data analytics, statistics, or a related field, is essential. Knowledge of Financial Crime is not essential, but is desirable.

Key Accountabilities:

• Develop and maintain Looker Dashboards for use within the wider operational Financial Crime teams
• Make backend changes to the data warehouse to increase the level of Financial Crime data modelling
• Improve existing monitoring of control gaps and losses attributed to these
• Develop models to predict financial crime risks, such as First Party Fraud
• Develop and maintain rules within transaction monitoring systems

Skills & Experience:

• Proven ability to use SQL within either data analytics or engineering
• Strong critical thinking skills with the ability to break down complex problems
• A track record of presenting technical solutions in a non-technical manner
• 1+ Years Experience working within a Financial Institution



Benefits:

• 25 days plus bank holidays
• Bonus days off for Learning & Development, Mental Wellbeing, Birthday, Moving House & Christmas
• Working abroad policy (up to 60 calendar days per year)
• Bupa Health Insurance (YuLife)
• Life insurance powered by AIG (5x Annual Salary)
• Pension Scheme powered by “People’s Pension” (4% Matched)
• EAP (Mental health & wellbeing support, Life coach, Career coach)
• 24/7 GP access (Smart Health via YuLife)
• Annual subscriptions to Meditopia & FIIT for your mind and body (via YuLife)
• Discounted shopping vouchers (via YuLife)
• Enhanced parental leave
• Ride to work scheme & Season ticket loan
• Electric car scheme
• Six nights of Night Nanny for new parents
• Free Curve Metal subscription for you and your +1

Requirements

Benefits

Key Accountabilities