Financial Crime Assurance Analyst, Data Specialist New Cardiff, London or Remote (UK)

Monzo; Cardiff; Hybrid; GBP 35,000 - 50,000; Full time

Job summary

Monzo is seeking a proactive Financial Crime Assurance Analyst (Data Specialist) to join their team in Cardiff or London. This role involves developing QA tools, analyzing financial crime data, and ensuring compliance with regulatory standards. With a focus on customer protection, the successful candidate will contribute to Monzo's mission of making money work for everyone, in a supportive and inclusive environment.

Benefits

Flexible working hours

£1,000 learning budget each year

Support for work-from-home setup

Qualifications

• Experience in data analysis and financial crime.
• Ability to build dashboards and metrics.
• Strong analytical skills and attention to detail.

Responsibilities

• Develop and maintain QA assessment forms and dashboards.
• Identify opportunities to improve and automate processes.
• Analyze financial crime data to determine trends.

Skills

SQL

Statistics

Data Analysis

Attention to Detail

Education

Degree in Data Analysis or related field

Tools

BigQuery

Looker

Job description

Financial Crime Assurance Analyst, Data Specialist

Cardiff, London or Remote (UK)

We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ️

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK, with over 100,000 new people joining every month.

We’re looking for a proactive, organised and conscientious FinCrime Assurance Analyst (Data Specialist) to join our existing FinCrime Assurance team. This is an exciting opportunity to make a real difference, protecting our customers and the market from criminals.

You’ll need to have good SQL skills, knowledge of statistics and an ability to understand basic coding. Knowledge of bigquery and google forms is highly desirable.

You will also work closely with the Monzo Data Science team, who support us for more complex data tasks. Good knowledge of Financial Crime and/or Fraud is also beneficial.

The FinCrime Assurance team is responsible for assessing the effectiveness of Monzo’s Financial Crime controls, ensuring that we meet our own internal high standards and regulatory expectations.

You will work with team members and other Monzo stakeholders to create and maintain fundamental assurance infrastructure, such as Quality Assurance assessment forms, sampling tools, trackers, dashboards and performance metrics.

You will lead on monitoring QA data, ensuring that our processes and systems are operating as efficiently as possible and resolving inefficiencies when they are identified.

You will also support the Assurance team in analysing financial crime and fraud QA data, to determine trends and patterns, supporting the bank in our continuous improvement objectives.

You’ll spend your time:

• Developing and maintaining FinCrime QA assessment forms, sampling tools, trackers, dashboards and systems, so that they are scalable and effective.
• Identifying and rolling out opportunities to improve and automate our processes.
• Building metrics and dashboards to assist the review of QA results, to determine what errors are occurring and propose actions to prevent recurrence.
• Determining key testable requirements from FinCrime and Fraud documents and incorporating those tests into QA forms, which will be used by the FinCrime and Fraud QA assessment team for their assurance work.
• Supporting the FinCrime Assurance Lead to deliver consistent, compliant and outcome focussed QA reviews, and provide assurance against Key Risk Indicators across FinCrime.
• Using QA insights to identify practical actions that improve FinCrime quality in Monzo.
• Driving improvements of processes, procedures and knowledge management.
• Delivering timely customer centric feedback to control owners and managers.

We’d love to hear from you if

• You have good SQL knowledge and can understand basic coding;
• You have good knowledge of statistics and how to interpret them;
• You are able to build dashboards and MI information;
• You are comfortable in developing data capture forms and datasets;
• You are comfortable owning data problems end-to-end, from identification to resolution;
• You have experience of analysing data to identify issues and drive improvements;
• You are confident in using data to back up decisions and improve understanding;
• You have a strong attention to detail and analytical skills;
• You can provide constructive feedback to enable personal growth and development.
• You have a degree, experience or equivalent in a data analysis field;
• You have a background in Financial Crime, with a sound knowledge of regulatory requirements;
• Experience or knowledge in G Suite API and BigQuery;
• Capable of using Looker to generate MI;
• Strong influencing and stakeholder management skills, and ability to challenge others, as well as having exposure to senior management;
• Experience in a QA related role;
• Knowledge and experience of implementing FCA principles & Treating Customers Fairly.

Our vision of ‘making money work for everyone’ is dependent on every Monzonaut committing to putting customers first. We're also committed to employing a diverse and inclusive workforce, reflective of the customers and communities we serve – where everyone can be themselves and succeed. So if this sounds like a culture that you'd like to be a part of then be assured that we'll welcome your application.

What’s in it for you

This role can be based in our London or Cardiff office, but we're open to distributed working within the UK (with ad hoc meetings in London)

We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.

£1,000 learning budget each year to use on books, training courses and conferences.

We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

The application journey has 3 key steps

• Recruiter call with a member of the hiring team
• Take home task
• Final stage 2-part interview (Technical & Behavioural) with members from the team

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible!

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to [e-mail] You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out!

#LI-MY1 #LI-REMOTE

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

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