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Credit Risk Analyst

Bangalore Bangalore Karnataka, Karnataka, India
Competitive Salary
Closing date
Jun 14, 2024

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Job Role
Credit Control
Contract Type
Full Time
About Fi Money

Who we are: Fi is a money management app that listens to your needs, understands your wants, and gently nudges you to achieve your financial goals. On the inside, we're a deep-tech startup that's building a highly innovative and secure financial hub for a digital-first generation.

Why you should work with us: We are about doing the right thing always, both for our team and our users. We are a positive, transparent and inclusive community, celebrating success together, encouraging bias for action and individual brilliance. We are ambitious and want everyone thinking 'impact and growth'.

What we're looking for:

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. We're all about the pursuit of making more intelligent and faster decisions at Fi through analytics. We take this endeavour very seriously while having fun creating value for ourselves and the organisation.

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

Selection process & timelines :

Once we have your application, our Talent team will review and reach out if we find your profile/portfolio suited for the current requirements.

Expect at least 3 rounds to assess your articulation & communication, general aptitude, attitude and team fitment. You will be quizzed for your role-related knowledge and general cognitive ability.

We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

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