Deskripsi Pekerjaan
Nezda Technologies is seeking a highly analytical and results-driven Analytics Officer to join our growing team in Taguig City. In this strategic role, you will support credit risk model development, portfolio analytics, and critical risk strategy initiatives across the customer lifecycle. You will act as a key player in transforming complex datasets into actionable insights that protect and optimize our portfolio.
As an Analytics Officer, you will work closely with risk management, product, and data science teams to build predictive models and evaluate credit risks. This is an incredible opportunity for a professional passionate about data analytics, financial technology, and risk optimization to build a long-term career with an industry-leading organization.
We offer a highly collaborative environment, competitive compensation, and excellent benefits designed to support your professional and personal development.
Tanggung Jawab
- Support the design, development, validation, and implementation of credit risk scorecard models and decision engines.
- Conduct regular portfolio performance analyses to identify risk trends, portfolio vulnerabilities, and strategic growth areas.
- Extract, clean, and manipulate large, complex datasets from multiple sources using SQL and analytical tools.
- Develop and maintain interactive dashboards and reports using data visualization tools to communicate key metrics to stakeholders.
- Collaborate with cross-functional teams to test, refine, and deploy risk mitigation strategies and credit policies.
- Perform ad-hoc deep-dive analysis on portfolio performance and present clear, data-driven recommendations to management.
Kualifikasi
- Bachelor’s degree in Mathematics, Statistics, Economics, Finance, Data Science, or a related quantitative field.
- At least 2 to 4 years of solid experience in credit risk analytics, portfolio risk management, or credit scoring.
- Strong technical proficiency in SQL for data extraction and manipulation is required.
- Hands-on experience with analytical programming languages such as Python, SAS, or R.
- Familiarity with data visualization tools like Power BI or Tableau.
- Excellent analytical thinking, problem-solving abilities, and communication skills to convey complex data concepts to non-technical partners.