Remote Jobs at Monzo

Candidates should possess a Bachelor’s degree in a relevant field, such as Mathematics, Statistics, Economics, or Finance, and have at least 5 years of experience in credit risk modelling, with a strong understanding of IFRS 9 provision methodology and capital requirements. Experience in stress testing, IRB modelling, retail credit originations, Net Present Value modelling, and Scorecard modelling is desirable.

Candidates should possess a Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 5 years of experience as a Data Scientist, with a strong preference for experience in a financial services or fintech environment. Demonstrated expertise in statistical modeling, machine learning, and data analysis techniques is essential, along with proficiency in programming languages like Python or R. Experience leading data science …

The candidate must have at least 4 years of experience as a Data Science Manager, with a minimum of 2 years in that role. Experience in financial crime detection, prevention, and mitigation is essential. Strong leadership skills and a data-driven strategic approach are required, along with the ability to collaborate with product, risk, and engineering teams.

Candidates should possess a Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 7 years of experience in developing and deploying machine learning models in a production environment. Strong experience with cloud-native data platforms and big data technologies is required, along with a deep understanding of machine learning techniques and algorithms.

Candidates should possess a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast-moving tech company. They should be impact driven and excited to own the end-to-end journey that starts with model development and deployment.

Candidates should possess strong experience working as a backend engineer, with a demonstrated enjoyment of learning new things and a willingness to collaborate with diverse teams including product managers, marketers, and designers. Formal qualifications or degree requirements are not requested for this role.

Candidates should possess a Bachelor's degree in a relevant technical field, and ideally have 5+ years of experience in engineering management, with a strong understanding of software development principles and methodologies. Demonstrated leadership skills and experience building and mentoring high-performing engineering teams are essential, along with the ability to collaborate effectively with cross-functional teams.

Candidates should possess a strong technical and delivery background, with prior experience as a software engineer, and demonstrate experience managing engineering teams. A solid understanding of software development principles and practices is expected, along with the ability to lead and develop engineering talent.

Candidates should have experience working with AWS and/or GCP, and experience working with Kubernetes. They should be comfortable working in a team that deals with ambiguity, be naturally inclined to solve problems through automation, and have some experience with strongly typed languages, writing and working on backend software. Curiosity about systems and diving deep to investigate issues is also desired.

Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with a minimum of 7 years of experience in backend engineering, specifically within a customer operations environment. Strong leadership skills and experience collaborating with engineering directors and product leaders are essential. Experience with workforce management systems and tooling for customer support teams is also required.

Candidates should possess strong experience working on backend systems, and a genuine interest in learning new things, with no formal qualifications or degree requirements.

Candidates should possess a Bachelor's degree in Computer Science or a related field, along with at least 8 years of experience in backend engineering, particularly within a growth-oriented environment. Strong product experience is essential, and a deep understanding of data-driven decision-making is required.

Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 5 years of experience as a backend engineer, with a strong understanding of software development principles and practices. Experience with Go, Cassandra, Kafka, Envoy Proxy, Kubernetes, Docker, and AWS is highly desirable.

Prior experience in Collections or Debt Recovery is required, along with a background supporting customers in a contact centre environment. Candidates must be able to start on May 12th, 2025, and commit to 7 weeks of full-time training. Strong communication skills for interacting with customers via multiple channels are essential, as is a keen eye for detail and an understanding of regulatory obligations in line with the FCA.

Candidates should possess extensive experience in unsecured retail lending, including developing and implementing credit risk strategies. They should also have a proven track record of building best-in-class credit capabilities and a strong understanding of credit and pricing strategies.