Data Analyst - SQL/Python (4-8 yrs)

Position : Asst. Manager/Manager Credit Risk.

What will your day look like ?

- Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management).

- Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies.

- Manage challenging time constraints to ensure on-time delivery of projects.

- Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.

- Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.

- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.

- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.

- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.

To Help Us Level Up, You Will Ideally Have :

- Quantitative background in engineering, statistics, math, economics, business, or related disciplines.

- 4+ years' experience in analysing data and using database query language (e.g SQL) analysis and programming and developer tools such as Python, R , databricks in a finance or analytics field.

- 1+ years of experience in leading high performing team of analysts.

- Experience in working with non-traditional data such as social media will be a big plus.

- Prior model building experience is a plus but not critical.

- Possesses analytical mindset and strong problem-solving skills.

- Attention to detail and ability to multitask.

- Comfortable working in a fast-paced environment and dealing with ambiguity.

- Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.

- Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.