---
title: 'Lead Credit & Risk Data Science / Analytics at Ocrolus Inc.'
canonical: 'https://feeny.ai/job/lead-credit-risk-data-science-analytics-ocrolus-inc-new-york-q2xggth6rbfe'
type: 'job'
last_seen: '2026-10-15'
---

# Lead Credit & Risk Data Science / Analytics at Ocrolus Inc.

- **Company:** Ocrolus Inc.
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/ocrolusinc/jobs/6212708004

## Job description

Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.

Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.

The Small Business team at Ocrolus uses our massive and unique dataset of cash flow, credit, and financial data from the market’s most sophisticated lenders to build high-quality data products empowering lenders to make better credit, fraud, and operational risk decisions. This role will lead our efforts to mine internal, client, and partner data for unique insights and develop data products, predictive models, and analytical tools that leverage the power of the Ocrolus network. You will analyze large and unique datasets, interact as a subject matter expert with clients and prospects, and work with excellent colleagues in product, engineering, and revenue to bring transformational data products to market. If you are a curious, high-agency analytics leader who wants to leverage your experience in SMB credit risk and strong technical skills to drive outsize impact, we want to talk to you!

## What you’ll do

- Analyze large, diverse, and unique datasets around business cash flow, financial health, credit, marketplace dynamics, and repayment performance to unearth powerful insights and identify compelling product opportunities.
- Partner with Product, Engineering, senior management, and other stakeholders to develop and commercialize analytical and data products that will drive impact for our clients and gain adoption in the market.
- Lead Ocrolus’ analytical and data science efforts to research and develop new data and decisioning products, including mentoring colleagues from a business and technical standpoint.
- Interact with clients and prospects as a subject matter expert on small business credit and the Ocrolus suite of analytics and decisioning products.
- Develop robust, scalable, and efficient models, thoughtfully balancing algorithmic complexity against interpretability, customer needs, and delivery timelines.
- Translate ambiguous business challenges into well-defined data science problems
- Own the end-to-end lifecycle of data science models, from data exploration and feature engineering to deployment, monitoring, and continuous improvement in production
- Examples of SMB analytics initiatives include: using agentic pipelines to enhance transaction classification, training gradient boosting trees to predict loan default probability and loss-given-default based on transactional cash flow data, building entity resolution systems to match financial data across time with a specific merchant, mining massive internal and partner datasets to build agentic fraud detection systems, resolving data signals from across the Ocrolus network to build a comprehensive and contextualized profile of small business financial health and debt capacity

## What you’ll bring

- 7+ years of professional experience in risk management, analytics, and/or data science, building decision strategies and building/deploying predictive models in a production environment
- Significant knowledge of small business credit, including underwriting, pricing, and portfolio management
- Expertise and hands-on curiosity with using LLMs and cutting-edge AI tools to create novel products and solutions
- Full stack data-science/analytics experience: ideating, building, deploying, monitoring, and maintaining production ML models that solve real-world needs
- Deep understanding of statistics, probability, and machine learning algorithms
- Strong software engineering and data engineering fundamentals. Excellent programming skills in Python and proficiency with core data science libraries (e.g., pandas, scikit-learn, Hugging Face)
- Excellent SQL skills and comfort working with large and complex data warehouses (Snowflake/Postgres)
- Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Math, Engineering)
- The ability to communicate and present complex technical topics and results to various audiences. Skilled in collaborative and compelling communication with clients and prospects.
- Passion for understanding the “why” of the problem and the impact of solutions on client outcomes

Bonus points

- Experience working with messy, real-world financial data (e.g., bank transaction streams, financial statements, credit reports)
- Portfolio of past data science/analytics accomplishments (including source code)

Note:

The full-time salary range for this role is in the range of $230K-270K + equity + benefits. Base pay offered may vary depending on job-related knowledge, skills, experience, and market location.

Disclosure as required by N.Y.C. Admin. Code §§ 8-102 and 8-107(32) of the full time salary compensation range for this role when being hired into our offices in New York City. Life at Ocrolus

We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.

Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence

We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.

We look forward to building the future of lending together.

## About Ocrolus Inc.

## Company Overview
- **One-liner**: Ocrolus is an AI-powered workflow and analytics platform that automates financial document analysis and underwriting for lenders.
- **Entity Type**: Private (Series C / Unattributed VC; last round $10.5M in February 2023)
- **Headquarters**: New York, New York, United States (101 Greenwich Street, Floor 11A)
- **Founded**: 2014
- **Founders**: Peter Bobley (Co-founder) – other co-founders not publicly named

## Core Business
- **Primary Industry**: Financial Services – AI-powered lending automation (mortgage, SMB, consumer lending, auto finance, legal, tax, tenant screening)
- **Target Customers**: B2B – banks, credit unions, fintech lenders, mortgage originators (enterprise and mid-market)
- **Mission/Purpose**: Transform financial decision-making through intelligent automation, expanding access to credit by making underwriting faster and more accurate.

## Products & Services
- **Ocrolus Platform (API & Dashboard)**: A SaaS platform that classifies documents, extracts key data, detects fraud, and delivers cash flow and income analysis. Supports regulatory-grade data capture with reported >99% accuracy.
- **Classify**: A machine learning tool for sorting and categorizing financial documents.
- **Vertical Solutions**: Tailored workflows for mortgage, SMB funding, consumer lending, auto finance, legal, Medicaid, tax, and tenant screening.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed; Forbes named Ocrolus a “Next Billion-Dollar Startup” (source: company page).
- **Key Metric – Total Funding**: Conflicting reports – $137.91M (CB Insights) vs. $140.7M (LinkedIn). Both cite rounds including Series C ($80M in September 2021), $10.5M venture round (February 2023), and earlier seed/convertible notes.
- **Annual Revenue**: $8.5M (LinkedIn estimate, likely as of 2025).
- **Notable Customers**: PayPal, Brex, SoFi, Blend, Plaid (source: Greenhouse careers page).
- **Notable Investors**: Bullpen Capital, QED Investors, Fin Capital, Laconia Capital Group, RiverPark Ventures (and 40+ others; CB Insights lists 44+ investors).
- **Growth Signals**: Analyzing 750k credit applications per month; 3,700+ active user accounts; employee count of 468 (LinkedIn) with monthly headcount growth of +2.3%; operates in 5 countries (US, India, Canada, UK, Ireland).

## Competitive Advantages
- **Regulatory-grade accuracy**: Human-in-the-loop document automation delivers >99% accuracy, replacing legacy OCR (75-80% accuracy).
- **Unique data advantage**: AI models trained on millions of financial documents for cash flow and income-based underwriting.
- **Deep integrations**: Works with major Loan Origination Systems (LOS) and fintech infrastructure providers.
- **Fraud detection and compliance**: Built-in fraud detection and data manipulation identification.

## Strategic Focus
- **Expand vertical solutions**: Continued push into mortgage, SMB lending, and adjacent verticals (legal, tax, tenant screening).
- **AI-driven automation** Deepen vertical AI capabilities to replace manual underwriting and legacy OCR.
- **Global scale**: Growing engineering and operations in India (Gurugram, Noida) while maintaining US headquarters.
- **Product expansion**: Enhancing API and dashboard capabilities to handle more document types and analytics.

## Why Work Here
- **Culture**: Recognized as one of NYC’s Best Places to Work; values include ECHO (Excellence, Curiosity, Humility, Ownership/Optimism/Objectivity/Urgency/Appreciation – the company lists both “ECHO” and a separate set of values; see career page).
- **Remote/Hybrid**: Many roles listed as “Remote - US” or “Remote - IND”; some positions in New York, Atlanta, Austin, Chicago, etc. Strong remote-first posture for engineering.
- **Growth & Impact**: High-growth startup with over $100M raised, working with top fintech names. Employees can expect ownership, autonomy, and opportunities to shape product.
- **Diversity & Inclusion**: Explicit commitment to equal opportunity regardless of race, gender, age, disability, etc.
- **Perks**: Competitive benefits and development opportunities; noted in Greenhouse careers page.
- **Engineering Culture**: Emphasis on Python, Golang, AI/ML; Principal Engineer role for AI Transformation; large engineering base in India and US.

## Sources
1. [Ocrolus Website](https://www.ocrolus.com)
2. [Ocrolus Company Page](https://www.ocrolus.com/company/)
3. [Greenhouse Careers – Ocrolus](https://boards.greenhouse.io/ocrolusinc)
4. [CB Insights – Ocrolus Profile](https://www.cbinsights.com/company/ocrolus)
5. [LinkedIn – Ocrolus](https://www.linkedin.com/company/ocrolus)

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