Lead Analytics Engineer Borrowing
ðLondon, Cardiff or Remote in the UK | ð° £97,800 -125,000 + Benefits | Hear from the team â¨Â
âOur Borrowing Analytics Engineering Team:
Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether thatâs making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And weâre looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely.Â
We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers.Â
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.Â
ðYouâll play a key role by...
- Serving as a data architect for Monzoâs Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite.
- Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
- Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.Please mention the word **ANGELIC** and tag RMzQuMTgyLjIzMy43NQ== when applying to show you read the job post completely (#RMzQuMTgyLjIzMy43NQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Apply To This Job
âOur Borrowing Analytics Engineering Team:
Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether thatâs making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And weâre looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely.Â
We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers.Â
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.Â
ðYouâll play a key role by...
- Serving as a data architect for Monzoâs Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite.
- Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
- Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.Please mention the word **ANGELIC** and tag RMzQuMTgyLjIzMy43NQ== when applying to show you read the job post completely (#RMzQuMTgyLjIzMy43NQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
Apply To This Job