As a Data Scientist, you will leverage machine learning and AI to analyze data, enhance user experiences, and lead diverse data projects to inform data-driven decisions.
Data Scientist, Credit Risk Analytics
📜 Description
- Build industry-leading machine learning models for managing credit and fraud risks.
- Leverage complex data sources to develop credit and fraud strategies.
- Collaborate with engineers to deploy models into production environments.
- Propose and execute solutions within business constraints.
- Monitor credit risk models in production and conduct ad-hoc analysis.
🛠️ Requirements
- 3+ years of experience in fintech, finance, or high impact fields applying statistical and machine learning techniques.
- Advanced degree (M.S./PhD) in statistics, computer science, engineering, or related field.
- Expert knowledge in Python and SQL.
- Strong communication and interpersonal skills.
- Ability to work unsupervised in a fast-paced environment.
✨ Benefits
- The digital-first tools and intentional culture to keep you synced and supported
- Invested in your future: A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security
- Holistic well-being: We provide the resources you need to thrive
- From flexible time off and paid parental leave to an annual wellness allowance and comprehensive health coverage
- Professional & personal growth: Take advantage of a suite of premium perks
- Childcare assistance
- Pet insurance
Full job description
Your role in our mission
How you’ll make an impact
Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
Solid understanding of coding best practices and model documentation
Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
Strong interpersonal skills – collaborate with people across functions and develop strong relationships
Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Self-motivated, results-oriented, enthusiastic, and a creative thinker
Resources to help you prosper
Interview Process
Similar jobs
Search more Data Scientist jobsProduct-Focused Data Scientist (LLM Products)
As a product-focused data scientist, you'll build LLM-powered tools to enhance political strategy, collaborating with strategists and ensuring product rigor and user engagement.
As a People Analytics Data Scientist, you will transform employee data into strategic insights, guiding decision-making and enhancing business outcomes through advanced analytics.
Data Scientist - Analytics Business Consulting
As a Data Scientist in the EU Analytics practice, you will transform how Life Sciences companies work with technology, data, and AI to bring treatments to patients faster.
As a Data Scientist at Polco, you'll synthesize advanced insights for local governments, focusing on descriptive, predictive, and causal analytics to impact over 36 million Americans.
