Job description :
- Data is central to decision-making at Fi and our analysts play a major role in driving strategic decisions
- Teams across functions from product and finance to tech and marketing collaborate with our analysts for insights to make informed decisions
- Analysts at Fi work with data to craft compelling narratives towards decisions that take the product to the next level
- Were all about the pursuit of making more intelligent and faster decisions at Fi through analytics
- We take this endeavor very seriously while having fun creating value for ourselves and the organization
Roles and Responsibilities :
Conduct thorough credit assessments on loan applications, evaluating factors such as credit history, financial statements, and collateral.Utilize statistical models and risk assessment tools to analyze creditworthiness and determine appropriate lending terms.Monitor and manage credit exposure by identifying potential risks and implementing risk mitigation strategies.Collaborate with internal teams, including underwriting and collections, to optimize credit processes and improve portfolio performance.Stay updated on industry regulations and market trends to ensure compliance with relevant guidelines and best practices.Prepare detailed reports and presentations summarizing credit risk metrics and performance indicators for senior management.Participate in cross-functional projects aimed at enhancing credit risk management practices and driving business growth.Some ideal things to have :
A passion for analytics, a love of what it is - tough, intriguing, never dull, always intellectually challenging and constantly demanding that you expand your skill setStrong in first principle-thinking and applying analytics to real-life business problemsCan maintain a clear style of communication and is able to coordinate with people from different teams and backgrounds. Effective storyteller with the ability to connect the dots and explain the crux of a situation to the stakeholdersAbility to self-manage priorities and deliverables while working in a fast-paced, startup environmentA solid understanding of data structures and expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods as well as scenario-based sensitivity analysesExperience with one or more data programming languages (Python, R, SQL) and one or more visualization tool (Tableau, PowerBI, Qlikview, D3.Js )Conduct every analysis with speed, quality and reliabilitySkills Required
Python, Sql, Powerbi, Tableau, Qlikview