BUSINESS & RISK ANALYST

The Business and Risk Officer (BRO) will cover the design, development, deployment, and maintenance of the business intelligence reporting scheme, tools and data marts essential in building the entire MIS and analytics framework and reports needed by the business for performance tracking, portfolio management, strategy formulation, profitability analysis and business development.

It will also be responsible for utilizing and analyzing various business intelligence sources (internal data, business analytics, digital analytics, market, and consumer research) to identify business growth opportunities and help influence and enable data-driven decisions and action planning for both strategic and tactical business growth strategies.

Responsibilities

• Lead the design and development of analytical projects designed to understand key business behaviors that drive customer acquisition, retention, and engagement.
• Work with various internal and external business units (i.e. Marketing, Credit Risk, and IT/Business Data Warehousing, enterprise customer intelligence, CRM, external research agencies, etc.) to identify gaps, develop a learning agenda, create research plans and design business studies and innovation-focused insight generation activities.
• Provide support to the Portfolio Management, Marketing and Sales teams in designing and executing their acquisition and portfolio action campaigns.
• Ensure generation of accurate and timely MIS that provides thorough understanding of portfolio risk, allows for what-if analysis/forecasting portfolio trends, support hypothesis testing, and effective feedback into product design
• Monitor and manage portfolio delinquency, risk-adjusted margins and loan loss provisioning within target level.
  
  

Qualifications

• Bachelor's Degree in Statistics, Mathematics, Economics, Data Science, or Engineering
• At least 2 years of experience in business analytics, data science/analytics or related disciplines in a consumer lending and/or distribution industry
• Proficient in data/analytical tools (e.g. SAS and Tableau)
• Strong analytical and problem-solving skills