Description:

Prosper is seeking a Sr. Data Scientist for the Data Science team under the Credit Risk Analytics vertical.
The role involves becoming a core contributor with machine learning expertise on the credit risk team and delivering results that directly impact the business.
Responsibilities include building industry-leading machine learning models for managing credit and fraud risks.
The candidate will leverage multiple complex data sources, such as credit bureau reports and customer-supplied information, to optimize approve/decline and credit line assignment decisions.
Collaboration with engineers to deploy models into a production environment is essential.
The role requires proposing and executing solutions to various problems within business constraints.
The candidate will use responsible AI techniques following regulatory requirements and lending best practices.
Assisting the team in developing tools and workflow solutions to increase data science productivity is expected.
The candidate will actively monitor credit risk models in production and extract the most value out of data to significantly impact key business metrics.
Conducting ad-hoc analysis related to risk management, investor services, operations, and corporate development is also part of the job.

Requirements:

The candidate must have 6+ years of work experience in fintech, finance, or another high-impact field applying statistical and machine learning predictive techniques, with educational experience taken into consideration.
An advanced degree (M.S./PhD) in statistics, computer science, engineering, physical sciences, economics, or a related technical field is preferred.
Expert knowledge in statistical programming languages such as Python and database languages such as SQL is required.
A solid understanding of coding best practices and model documentation is necessary.
Strong communication skills are essential, with the ability to clearly and succinctly communicate technical subject matter to team members and senior management.
Strong interpersonal skills are needed to collaborate with people across functions and develop strong relationships.
The candidate must be able to work unsupervised in a fast-paced environment and prioritize among parallel projects.
The ability to think within regulatory guidelines with a mindset toward reproducible research is important.
The candidate should be self-motivated, results-oriented, enthusiastic, and a creative thinker.

The salary range for the Senior Data Scientist position is $151,000 - $186,000 annually, plus bonus and generous benefits.
Prosper is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
The company values diversity, collaboration, curiosity, integrity, excellence, simplicity, and accountability.
Prosper encourages applicants to apply even if their experience doesn't precisely match the job description, valuing unique skill sets and diverse perspectives.
The company is committed to an inclusive and diverse workplace, ensuring that all aspects of employment are based on merit, competence, performance, and business needs.