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.- Analyze 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.- 5+ years experience in analyzing data and using database query language (e. 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 an 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.
Keyskills: Data Science R Data management product management Python SQL