Enterprise Risk Model Architect
7 days ago
We are seeking a skilled Enterprise Risk Model Architect to join our team at Slope. This is a fantastic opportunity for you to leverage your expertise in data engineering and machine learning to build the models that power our underwriting stack.
About SlopeSlope is a fast-growing startup empowering growing businesses by providing seamless access to capital. We're building a unified platform that serves two main purposes: direct business financing and technology platform for credit teams.
The role will play a foundational part in building the risk models, infrastructure, and pipelines powering our underwriting stack. You will own everything from designing and implementing pipelines to deploying the model to real-time production code.
- Designing and implementing risk models that determine who we lend to, how much we lend, and what terms we offer.
- Owning the development of pipelines, training loops, and deployment scripts.
- Scaling and optimizing our underwriting service while maintaining low latency.
- Integrating new data sources into our production and training pipelines.
- Building the infrastructure that powers data ingestion, model training, and deployment.
To be successful in this role, you'll need:
- At least 3 years of experience in data engineering or ML engineering in a production setting.
- Experience working closely with data scientists to ship features and models into production.
- Fluency in Python and JavaScript.
- Experience with the DS stack (Pandas, Scikit, Numpy).
- Experience with SQL, data warehousing, and ETL.
If you have additional skills in web frameworks (Django, Nextjs), high-growth startups, or entrepreneurial mindset, it's a plus
As a member of our team, you'll enjoy a competitive salary of $120,000 - $180,000 per year, depending on your experience.
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