Senior Data Analyst, Finance (Regulatory & Financial Reporting)
London
Monzo
Join over 9 million people with a Monzo bank account. Free current accounts, joint accounts and business banking for all! We make money work for everyoneWe are looking for a Data Analyst to join and help scale our growing data team in finance. You’ll be at the intersection between finance and data, in particular developing and supporting tooling relating to regulatory reporting, financial reporting and risk management. You will collaborate closely with our Regulatory Reporting and Financial Reporting teams, since your work will directly support their ongoing processes and controls.
You will support process improvement by building and analysing data models (mostly in SQL) downstream of engineering interfaces and accounting systems.
Data at Monzo
Our Data team's mission is to
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place in BigQuery, our data warehouse. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists and analysts the head space to focus on more impactful business questions and analyses.
You’ll be working day-to-day within a multi-disciplinary team within finance, working closely with both accountants and analysts as well as backend and analytics engineers.
The role
You’ll be responsible for:
- directly support the implementation of a new regulatory reporting system;
- own the core pipeline, data tables and models that feed our regulatory and financial reporting;
- help us continue building out our data framework between our internal banking platform and financial ledger that supports all our reporting and analysis needs;
- support Monzo to stay ahead of upcoming regulatory reporting changes.
You will be at the intersection of analytics engineering and data analysis relating to our reporting. In addition to building out our core data assets, you will be responsible for digging deep into the data, understanding the financial and accounting implications of our products, proposing solutions to identified problems and finally measuring the outcomes of implemented solutions.
You’ll also work closely with engineers across the company to ensure that we are collecting all the necessary data that we will need for accurate and compliant reporting.
Finally, you will assist in introducing and monitoring company-wide KPI's (Key Performance Indicators) and KRI's (Key Risk Indicators) which will measure how the bank is performing and alert us if something goes off track.
You should apply if
- you have experience building robust datasets (in SQL) and using them for analysis to support financial reporting and/or commercial decision making
- you have strong grounding in SQL and are familiar with BigQuery and/or general data warehousing concepts
- you are happiest exploring data, making discoveries and understanding their implications
- have previously worked in an analytics/finance environment - for example in a tech start-up, management consulting or investment banking
Nice to haves
- you've acquired a certification or part-qualified in the relevant area such as ACA or CFA
- familiarity with a programming language such as Python and/or Go
- previous experience in banking or financial services
Logistics
Logistics
• We can help you relocate to London & we can sponsor visas.
• This role can be based in our London office or remotely within the UK
• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
• The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.
We are an equal opportunity employer
At Monzo, embracing diversity in all of its forms and 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.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking BigQuery Consulting Data analysis Data Warehousing Engineering Finance Looker Python SQL
Perks/benefits: Flex hours Flex vacation Startup environment
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