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 …

Candidates should possess a Bachelor’s degree in a relevant field, along with a Master’s degree preferred, and have at least 5 years of experience as a Data Scientist. Strong analytical and quantitative skills are required, as well as experience with statistical modeling, machine learning, and data mining techniques. Familiarity with Python or R is also necessary.

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 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.

Candidates should be a part-qualified or qualified accountant with experience working within financial services, possessing previous knowledge of regulatory reporting, including statistical reporting, capital reporting (COREP), liquidity reporting, and financial reporting (FINREP). Strong attention to detail and excellent Excel or Google Sheets skills are required, along with basic knowledge of SQL.

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.

Candidates should possess experience in unsecured retail lending, such as personal loans, credit cards, and overdrafts, along with a solid understanding of the unsecured retail lending market and its pricing dynamics.

Candidates should possess knowledge of providing credit to small and medium-sized sole traders and limited companies, along with experience utilizing automated decisioning processes and a solid understanding of Credit Risk Management activities.

Candidates should possess a Bachelor's degree in a relevant field, such as Computer Science, Engineering, or a related discipline, and have a minimum of 7 years of experience in analytics engineering, with at least 3 years in a leadership role. Strong experience with data warehousing technologies, cloud computing platforms (e.g., AWS, GCP, Azure), and SQL is required. Experience with data modeling, ETL processes, and data pipeline development is also essential.

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 8 years of experience in machine learning, with a strong focus on operations and building scalable ML systems. Experience with large datasets and distributed computing environments is essential, along with expertise in model development, deployment, and monitoring.

Candidates should have multiple years of experience in unsecured lending, particularly credit cards, and a working understanding of the regulations that apply to lending in the UK. Strategic thinking and proactive opportunity identification are also required, along with comfort in both hands-on and step-back roles.