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 set
- Strong in first principle-thinking and applying analytics to real-life business problems
- Can 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 stakeholders
- Ability to self-manage priorities and deliverables while working in a fast-paced, startup environment
- A 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 analyses
- Experience 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 reliability
