Dashboard and Reporting Analyst

Job Title: DAnR Python Dashboard Developer

Experience: 2 to 5 years of relevant development experience

About the Job:

We are looking for a Python Dashboard Developer within DAnR to own custom web-based monitoring dashboards for Tonik's lending scorecards. You will build flexible analytical applications with an open-source Python stack and deploy them on Tonik's internal web server in partnership with IT.

The priority is to give Risk, DS and business teams timely visibility into scorecard performance, data coverage and operational issues. Dash and Plotly with enterprise authentication are a preferred approach. You will use reusable components and, where appropriate, AI-assisted development to accelerate delivery while maintaining reviewed code and verified calculations.

Job Responsibilities:

• Build and maintain interactive Python web dashboards using Dash and Plotly, or an agreed comparable open-source framework. Deliver clear navigation, filters, drilldowns and export capabilities for internal users.
• Develop a reusable monitoring framework so new or refreshed scorecards can be onboarded quickly. Target operational dashboards within one week of model go-live, with outcome-based measures becoming available as repayment cohorts mature.
• Implement monitoring views for underwriting, behavioral and offer scores, collections, payroll-backed lending and other assigned models. Support component and stacked-score views, product segments and model-version comparisons.
• Work with DS and Risk to define and implement Gini, KS, PSI, CSI, calibration, deciles, approval rates and bad rates. Capture agreed cohort, numerator, denominator and outcome-maturity rules rather than hard-coding ambiguous definitions.
• Separate input and score monitoring available at launch from performance metrics that require matured outcomes. Clearly label reporting windows, sample sizes, data freshness and insufficient-data conditions.
• Connect to Big Query and approved data sources using efficient SQL and reusable data-access layers. Use pre-aggregation, caching and controlled refreshes to keep dashboards responsive and query costs manageable.
• Build visibility into partner coverage, missingness, API failures and score-range changes. Implement agreed threshold alerts and exception views with enough detail for teams to investigate.
• Deploy and maintain dashboards on the internal web server with IT, including service configuration, dependencies, logging and health checks. Integrate enterprise authentication and appropriate access controls for sensitive lending data.
• Reconcile dashboard results to independently checked SQL or DS calculations. Use tests, code review and user acceptance testing to prevent misleading metrics, filter behaviour or exports.
• Use approved AI coding tools where useful; review generated code and validate logic before release. Maintain version control, technical documentation and a prioritized backlog with users.
• Migrate and retire legacy BI (Power BI) dashboards as the Python stack matures, so refresh cycles are no longer constrained by the old setup.

Required Experience and Qualifications:

• 2 to 5 years of relevant Python dashboard, analytical application or web development experience, with examples of applications deployed for business users.
• A bachelor's degree in computer science, engineering, data analytics or a related discipline, or equivalent practical development experience.
• Strong Python and SQL skills, including pandas and experience building interactive applications with Dash and Plotly or a comparable Python web framework.
• Working knowledge of HTML, CSS, responsive layouts, callback or application state management, APIs and debugging web applications.
• Experience connecting dashboards to databases, validating calculated metrics, managing performance and maintaining production applications.
• Practical knowledge of Git, testing, Linux-based deployment, authentication and authorization. Ability to work with IT on secure internal hosting.
• Ability to clarify business metric definitions, present data accurately and collaborate with analysts, Data Scientists and Risk users.

Preferred Experience and Qualifications:

• Prior lending or credit risk scorecard monitoring experience, including Gini, KS, PSI, CSI, vintage analysis, deciles and matured bad-rate reporting.
• Experience with GCP and Big Query, query optimization, caching, scheduled data refreshes and monitoring multiple model versions.
• Experience with enterprise SSO, role-based access, Docker, reverse proxies or deployment through CI/CD.
• Experience using AI-assisted development productively while retaining code review, tests, data protection and calculation validation.

What Success Looks Like:

• A reusable dashboard framework makes monitoring available quickly after go-live and supports frequent scorecard refreshes.
• Metrics reconcile to agreed definitions, with clear maturity, freshness and sample-size information.
• Dashboards remain responsive, secure and useful for identifying degradation and directing investigation.

Who are we looking for?

We value teamwork, honesty, reliability, practical problem-solving and a sense of humour. You take ownership of your work, communicate early when something is wrong, and challenge assumptions respectfully. You are comfortable collaborating across locations and improving how the team works.

✓ Willingness to go the extra mile for success.

✓ Energetic and lively, and street smart.

✓ As our approach to banking is far from ordinary, we are looking for an innovative and creative individual to join our team.

✓ Above all, a great team player and proactive communicator. This is a table-stake criterion.

About Tonik:

We are a transformative digital bank with a mission to revolutionize the way money works. We create better financial products for the world by encouraging inclusivity through simplifying processes, reducing costs, improving transparency, and embracing flexibility to empower more people with unique financial needs. All these are on the most secure mobile banking platform. To enable this, innovation is woven into the DNA of our company. We do not just search for the best talent, but for people who seek to challenge the status quo and are passionate about transforming the impossible into reality.

Tonik (www.tonikbank.com) is the first digital-only neo bank in the Philippines, providing loan, deposit, payment, and card products to consumers on a highly secure digital banking platform. The neo bank operates based on the first private digital bank license issued by the Bangko Sentral ng Pilipinas. Tonik is led by a team of retail finance veterans who have previously built and scaled multiple retail banks and fintechs across the global emerging markets. It is backed by top international venture capital funds. Tonik operates out of hubs in Singapore (HQ), Manila, Chennai, and Kyiv.

Our Data team works with Risk, Product, Technology and business teams to improve lending decisions and customer outcomes through reliable data, analytics and machine learning.