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Lead Credit Strategy Analyst

2 months ago


San Francisco, California, United States Social Finance Ltd Full time
Who We Are:
At Social Finance Ltd, we are dedicated to reshaping the financial landscape. Our mission is to empower individuals by transforming their relationship with personal finance through innovative, mobile-first solutions.

As a forward-thinking financial services provider and national bank, we leverage cutting-edge technology to assist our vast member base in achieving their financial aspirations.

We are at the forefront of an industry undergoing significant change, and we take pride in our daily contributions that positively impact lives, guided by our core values.

The Role:

As part of our Credit team, you will play a crucial role in managing credit risk for our lending products, which include Personal Loans, Student Loan Refinancing, Private Student Loans, and Credit Cards. This team is responsible for formulating credit strategies and policies for new account origination, portfolio management, and recovery operations.

Your expertise will help design data-driven strategies that align lending growth with our company's risk appetite, ensuring that our members' interests remain paramount.


In the position of Senior Credit Strategy Analyst, you will analyze and assess data to develop impactful credit risk strategies and models for our lending products. Initially, your focus will be on Personal Loans, with opportunities to engage with other products as needed.

Your responsibilities will include independently crafting and executing underwriting strategies that align with our risk profile, as well as monitoring risk trends within the portfolio to provide insights and recommendations for enhancing strategies.

You will collaborate with various cross-functional teams, including Business Units, Operations, Marketing, Finance, Capital Markets, Product, Engineering, Legal, and Compliance.


Utilizing your business acumen alongside quantitative and analytical skills, you will drive revenue, manage risk, and deliver value to both the company and our consumers.


What You'll Do:
Innovate... Bring your best ideas to the table to develop risk strategies. This includes architecting credit underwriting processes, pre-screen targeting, and risk tier assignments.
Data Driven...

Your comprehensive analysis will fuel the future of lending through an optimal real-time data ecosystem, incorporating various internal, bureau, third-party, and alternative data sources.

Embrace a culture of iteration and learning, where data-driven decisions are key.
Collaborate...

Work in partnership with business stakeholders across various departments to achieve successful outcomes. Collaborate closely with implementation teams to ensure accurate deployment of new strategies.


Manage Risk and Drive Performance... Understand credit risk and devise strategies to mitigate losses while responsibly growing revenue. Monitor the performance of strategies and portfolios, documenting and communicating results while addressing any issues that arise. Identify gaps and opportunities for improvement and take action.
Grow, Grow, Grow... Be inspired by dynamic leadership and our rapidly expanding business.

We seek passionate, quantitatively skilled team members who aspire to be the leaders of tomorrow.


What You'll Need:
3+ years of relevant experience
Strong business acumen and experience in the consumer lending sector (loans or credit cards)
Direct involvement in the credit strategy analytical lifecycle, including strategy development, P&L management, presentation, implementation validation, and post-implementation review
Proven analytical capabilities in conducting in-depth analyses using customer performance data, bureau attributes, and other third-party variables to address business challenges
Proficiency in Excel, SQL, and Python
A demonstrated ability to synthesize and communicate analysis effectively to business partners and senior management
A high level of motivation to achieve results, a desire to learn, and the ability to work collaboratively in a dynamic environment
Knowledge of analytical and modeling techniques such as decision trees, regression, and test design.

Preferred: 3+ years of experience in personal loan credit risk

Preferred:
Experience in developing credit strategies utilizing innovative data sources, including cash flow or alternative data

Preferred:
Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Mathematics, Engineering, or Computer Science.