Senior Manager Model Risk & Validation Job in Commonwealth Bank

We are interested in hearing from people who have: Leadership of small quantitative teams, preferably with international reach Proven stakeholder management skills including Executive Managers and Head of Excellent written and verbal communication skills Tertiary qualifications, in a quantitative discipline such as mathematics, statistics, econometrics, actuarial science, computer science or physics 9+ years of industry experience in building and/or validating models, preferably in financial services; ability to pick up new concepts and modelling techniques quickly is essential. Experience in developing/validating diverse set of models, preferably in the domain of financial crime and/or AI/ML Advanced knowledge of modern analytical tools including Hadoop, R, Python and Git. Knowledge in other programming languages such as SQL, C++, VBA, etc. is also desirable. Roles and Responsibilities: Model Risk & Validation provides assurance and oversight of models across the group. The team leads and conducts validation of the Group s models, based on internal policy and procedures, regulatory guidance, and the industry s best practices. It provides line 2 assurance and challenge for all models within the CBA group. The team also influences the technology, data and validation strategies through active engagement with BU s and executive level stakeholders across the group You will be part of a skilled quantitative team serving all business units across the CBA Group. Reporting to the Executive Manager, Managerial Model Validation, Model Risk & Validation, your key responsibilities include: Leading a small team of quants and data scientists in India, responsible for: Recruitment, retention, coaching and career development Leading and executing validation activity for a broad range of advanced models. These include Financial Crime models, Customer Behaviour models, as well as models using Artificial Intelligence (AI) / Machine Learning (ML). Supporting a strategic transformation agenda: Promoting and championing modern analytics tooling for validation including working papers Use of modern execution and hybrid-working tooling Presenting to internal working groups, technical forums, governance committees and/or regulatory meetings Maintaining productive relationships with model development teams, model owners, business unit teams and other stakeholders