Apply by: 03 September 2026 Were on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below: 1. To see
Key Responsibilities: Lead the independent validation of machine learning and predictive models across credit risk, financial crime, fraud, AML, and behavioural analytics. Review and validate the end-to-end model lifecycle, including feature engineering, model development, training, evaluation,
SUMMARY: Drive the future of Machine Learning and Quantitative Risk Analytics at a leading financial services organization. This is an opportunity for a technically strong Quantitative Analyst to lead the validation of high-impact machine learning models
Founded over 16 years ago, with more recent investments from Accel-KKR, Entersekt is a leader in digital banking fraud prevention and payment security, including mobile authentication, mobile app security, and 3-D Secure authentication for issuers, acquirers
About the job Engineer: Machine Learning III Qualifications and experience: 4 to 6 years Machine Learning and Software Engineering experience Strong analytical and problem-solving skills Expert in Python and SQL Experience with modern software development best
Key Responsibilities: Lead the independent validation of machine learning and predictive models across credit risk, financial crime, fraud, AML, and behavioural analytics. Review and validate the end-to-end model lifecycle, including feature engineering, model development, training, evaluation,
My client, a progressive organisation within the information technology space, is looking for an experienced Engineering Manager to lead a team focused on data science and data-driven product development. This role is ideal for someone who
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