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 analyzing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R , data bricks in a finance or analytics field.
- 2+ 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.
Skills: r,data bricks,model deployment,risk assessment,sql,credit scoring,python,data mining,credit risk decisioning,data visualization,risk analysis,machine learning,sql proficiency,predictive modeling,statistical analysis,presentation skills,model validation,credit risk,data analysis,analytical mindset
