Job Description:
Our team aims to provide the best data driven business insights to financial service business and product teams to make strategic and operational decisions, resolve business problems, and help stakeholders achieve business success.
- Focus on financial service domain including lending business, payment, digital products
- Collaborate with financial services respective business teams and product owners to provide data driven solutions and business insights to help them make decisions and create business impacts
- Design, develop and implement statistical, machine learning models and analytics methodologies as well as interpret and present outcomes to support the organisation’s operations and execution of key business strategies
- Provide ad-hoc analysis based on strategic direction of the business and deep dive into specific area / trend
- Design and build dashboards/reports for stakeholders of business performance monitoring and decision making
- Design and conceptualize solution that address the organisation’s challenges through big data analytics and process large amount of data by applying algorithms
Requirements:
- Degree holder in Business/Data Analytics, Mathematics, Economics, Statistics, Information Technology, Computer Science
- Minimum 4 years relevant hands-on experience in business/data analytical roles
- Minimum 2 years’ experience of financial service relevant domain, payment and retail finance are preferred
- Minimum 2 years of experience in Python and SQL
- Experience of analysing large datasets
- Experience of analytical and statistical modelling techniques: hypothesis development, designing tests/experiments, analysing data, regression (multiple, logistic, log-linear), neural network, decision tree, variable selection, etc
- Experience of writing comprehensive analysis reports
- Highly motivated, structured and methodical with high degree of initiative
- Strong problem solving, quantitative and analytical abilities
- Excellent written and oral communication skills
- Good team player, able to work independently and cross functionally
- Hadoop and Spark preferred
