Head - Credit Risk - Internet/Online

The organization gives credit (calculated, thought through) to its end users, to use our product at the merchants where we are integrated with. Few examples of the merchants are Zomato, Myntra, BookMyShow, etc. These 'calculated, thought through' decisions are based on our ML algorithms that have been created, improved upon over the years and mastered by our extremely talented teams. They work day-in and day-out in a plethora of data, coming from merchants about the users, transactions etc which we use to make business decisions and add immense value back to the merchant network.

- Ideally, we would want to be able to give credit to as many end-users as possible, so that the business grows. On the other hand, giving credit opportunity means owning risk; risk of fraudulent actions in the network. So, to manage that risk - we should then give as little credit as possible. This is where the Head of Credit Risk role comes in!

The position of 'Head of credit risk' owns the following work areas:

(a) Driving the development of ML models and heuristic rules to give right credit to right set of users

(b) Driving the development of our anti-fraud systems

(c) Working with merchants and third party data providers to help the client get more data about users to make better decisions

(d) Working with internal stakeholders to balance growth vs risk decisions

- The role holder will be heading a team of ~16 employees (presently) composed of Product Management professionals of Underwriting & Financial Analysis, Anti-Fraud Analytics and Anti-fraud Monitoring teams.

- The Credit Risk Head will be internally interacting with our CEO, CFO, Engineering Leads, Data Scientists and Data Engineers. Externally, the person in this role, will also be talking to our existing merchants (via our partner success team) to derive more value in their connection with the client, and with potential merchants to see the relevance of the data exchange possible between them and the client.

- Needless to say, the role holder will be reviewing large data sets, or teams reviewing data sets, hence, will be someone with extremely high qualitative aptitude and stakeholder management skills.

Experience: Overall 8-10 years; Relevant in a Credit Risk role: 3+ years

Role Location: Working from Office, Bangalore, India.

Must have:

- Quantitative aptitude

- Relevant work experience of Credit Risk portfolio in Fintech space

- Experience of leading teams

- Excellent communication skills

- High bias for action

- Ability to see patterns and Problem Solving Mindset

- Innovative Thinking - to drive change and build the next big thing

Nice To Have:

- Analytical, Statistical background

- Understanding of the product management space will be a plus

Qualification:

- A science or mathematics or Engineering (or equivalent) degree

- More than the degree, relevant work experience will be of more importance.