Digital Banking

Industry :


Location :


Salary :

$70,000 USD - $90,000 USD

Skill :

Advanced Analytics

Ref No :


Job Overview

Executive Recruitment Asia is working with one of the world’s leaders within challenger banking, our client is all about getting the job done. Becoming part of the adventure where you’ll need to take ownership, initiative and be a leader from day one.   We are looking to speak with candidates that are highly collaborative, hardworking people, who can deconstruct problems and talk to others as they do so, while being inventive.


  • Design and develop data-driven strategy by implementing advanced analytical techniques
  • Design reports and dashboards for operations and management support
  • Develop and implement loan portfolio and business intelligence reporting
  • Support pricing strategy for credit by analysing historical performance
  • Participate in the development and recommendation over consumer credit strategy, objectives, policies and practices
  • Evaluates loan decisions on applications to ensure decisions follow agreed procedures and policies.
  • Develop efficient forecasting model for different functions such as finance, risk and marketing
  • Analyse result of new practices
  • Participate on multiple parallel projects
  • Influence UX design to control data hygiene and to promote better quality outputs


  • Bachelor’s Degree in quantitative methods (e.g. Applied Mathematics, Applied Statistics, Engineering, or Economics), Master’s degree would be preferred
  • 5+ years of managing experience at a financial services, consumer lending or e-commerce payment system company, preferably in digital consumer credit
  • Experience with consumer loan product pricing, competitive analysis and maximising of profitability across multiple channels in a financial institution
  • Exceptional analytical and problem-solving ability, creative conceptual thinking, and keen business judgement
  • Experience in gathering and analysing financial data with experience with fraud strategy development.
  • Experience in credit risk management, policy, credit analysis or credit approval
  • Working knowledge of statistical modelling and analysis including data mining, regression, and decision trees
  • Strong knowledge of database querying and data analysis

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