Assistant Vice President

• Required experience:
• . Working experience across Australia, New Zealand or UK Commercial domains such as Company, Business Registry, Identity, Structures or Types (Company, Trust, Partnerships, etc), Shareholder information, Beneficial owners, Ultimate holding companies, Branches, Franchises, Industri types and codes
• . Knowledge of commercial legal events such as court judgements, EXAD, etc
• . Working experience with Payment / Trade data, and Credit risk data (enquiry, loan type, late payment, defaults, etc...)
• . Technical capabilities including SQL, Python, MS Excel / Google Sheets Desired experience:
• . Exposure to credit risk scores, scales, calibration and key contribution factors
• Technical capabilities including BigQuery, Tableau, Looke

Profile requirements:

• Must have: Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark.
• Must have: Ability to write well designed, modular and optimised code.
• Good to have: Knowledge of H2O.ai, GitHub, Big Data and ML Engineering.
• Good to have: Knowledge of Snowflake, AWS, Azure etc.
• Good to have: Knowledge of commonly used data structures and algorithms.
• Must have: Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level.
• Good to have: Knowledge of Time Series, NLP, Deep Learning and Generative AI.
• Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models.
• Must have: Must have been a part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex datasets.
• Good to have: Experience in Data Science in Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred.
• Good to have: Built and deployed large scale software applications.
• Good to have: Understanding of principles of software engineering.
• Must have: Strong problem solving and critical thinking skills.
• Must have: Curious, fast learning capability and team player attitude is a must.
• Must have:Ability to communicate clearly and effectively.
• Must have: Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications.
• Must have: Most importantly - ability to identify and translate theories into real applications to solve practical problems.