Slope

Software Engineer (Credit/ML)

San Francisco, California, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, FintechIndustries

Requirements

Candidates must have at least 3 years of experience in Data Engineering or ML Engineering within a production environment. They should have worked closely with data scientists to deploy features and models, possess experience in building and maintaining distributed ML infrastructure, and be fluent in Python and Javascript. Proficiency in the data science stack including Pandas, Scikit-learn, and Numpy is required, along with experience in SQL, data warehousing, and ETL processes. Additionally, candidates should have experience in developing internal tools to enhance operational efficiency and be willing to work in person in San Francisco.

Responsibilities

The Software Engineer will build core risk models that drive Slope's underwriting processes, determining lending decisions and terms. They will own the entire process from constructing pipelines and writing training loops to deploying models in real-time production code. Responsibilities also include scaling and optimizing the underwriting service for low latency, seeking new data sources for integration, and building infrastructure for data ingestion, model training, and deployment. The engineer will support the enhancement of internal tools used in financial and manual underwriting.

Skills

Python
Javascript
Pandas
Scikit
Numpy
SQL
Data Warehousing
ETL
Distributed ML Infrastructure
Model Training
Model Deployment
Data Pipelines

Slope

Provides B2B Buy Now, Pay Later solutions

About Slope

Slope provides Buy Now, Pay Later (BNPL) solutions designed for business-to-business (B2B) transactions, specifically targeting small to medium-sized enterprises (SMEs). Their service allows these businesses to manage their working capital more effectively by offering flexible payment options. When a transaction occurs, Slope charges a 6% merchant fee and pays the merchant immediately after goods are shipped or services are delivered. This process removes the risk of bad debt and the burden of payment collections from the seller, enabling them to concentrate on growth. Slope differentiates itself from competitors by focusing exclusively on B2B transactions, simplifying access to capital for growing businesses and alleviating the financial pressures associated with traditional credit management.

Key Metrics

San Francisco, CaliforniaHeadquarters
2021Year Founded
$91.9MTotal Funding
EARLY_VCCompany Stage
Fintech, Financial ServicesIndustries
11-50Employees

Risks

Increased competition from financial institutions entering the B2B BNPL space.
Potential regulatory scrutiny on BNPL services could impact Slope's operations.
Rapid scaling could lead to operational inefficiencies or service quality challenges.

Differentiation

Slope offers BNPL solutions specifically for B2B transactions, unlike most competitors.
The company eliminates bad debt risk by paying merchants once goods are shipped.
Slope's AI-driven underwriting platform, SlopeAI, enhances risk assessment and approval speed.

Upsides

Slope raised $65M to scale operations, indicating strong investor confidence.
Partnership with J.P. Morgan enhances credibility and market reach for Slope.
The B2B BNPL market is projected to reach $1 trillion by 2025, offering growth potential.

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