Lead Credit & Risk Data Science / Analytics

Ocrolus Inc.New York, United StatesEngineering

Apply on company site

Opens the official Ocrolus Inc. careers page

Salary

$230K-270K

Job type

Full-time

Experience

Lead · 7+ yrs

Posted

5 Oct 2026

Status

Open · checked 8d ago

About this role

This role suits a curious, high-agency analytics leader with a strong background in small business credit risk who wants to drive significant impact at the intersection of AI and fintech in New York, United States. Ocrolus Inc. is hiring a full-time Lead Credit & Risk Data Science / Analytics professional to guide data initiatives and develop predictive models.

Role Overview

Ocrolus Inc. is seeking a Lead Credit & Risk Data Science / Analytics professional for a full-time position located in New York, United States. The person in this position will head analytical and data science efforts to research, develop, and commercialize decisioning products. Responsibilities include analyzing large financial datasets, acting as a subject matter expert for clients, and collaborating across engineering, product, and revenue teams.

Key Responsibilities

Examine diverse datasets encompassing cash flow, financial health, credit, and repayment performance to extract insights and uncover product opportunities.

Collaborate with product, engineering, and senior management to build and commercialize analytical solutions for clients.

Drive data science initiatives and mentor colleagues on business and technical matters.

Represent the organization as a subject matter expert on small business credit and analytics products during client and prospect interactions.

Build scalable models balancing algorithmic complexity with interpretability and timelines.

Convert ambiguous business challenges into defined data science problems.

Manage the complete lifecycle of machine learning models from data exploration and feature engineering to production monitoring.

Execute SMB analytics initiatives such as agentic pipelines for transaction classification, gradient boosting trees for default prediction, and entity resolution systems.

Requirements

Seven or more years of professional experience in risk management, analytics, and data science, including building production predictive models and decision strategies.

Knowledge of small business credit operations including underwriting, pricing, and portfolio management.

Experience using LLMs and AI tools to develop new solutions.

Full-stack data science capabilities covering model ideation, deployment, maintenance, and monitoring.

Understanding of statistics, probability, and machine learning algorithms.

Programming skills in Python with proficiency in data science libraries like pandas, scikit-learn, and Hugging Face.

SQL proficiency and experience with data warehouses such as Snowflake and Postgres.

Bachelor's or Master's degree in a quantitative field like Computer Science, Statistics, Math, or Engineering.

Communication skills suited for presenting technical topics to diverse audiences and clients.

Nice to Have

Experience handling messy real-world financial data such as bank transaction streams, financial statements, and credit reports.

A portfolio of previous data science and analytics accomplishments, including source code.

Skills and Tools

Python

pandas

scikit-learn

Hugging Face

SQL

Snowflake

Postgres

Large Language Models (LLMs)

Gradient boosting trees

Agentic pipelines

Salary and Benefits

Full-time salary range of $230,000 to $270,000

Equity included

Benefits included

Base pay variations depend on knowledge, skills, experience, and market location

About the Company

Ocrolus Inc. provides an AI workflow and analytics platform that automates lending workflows and evaluates borrowers for financial institutions. The company integrates open- and closed-source AI models with human verification to process credit applications across small business, mortgage, and consumer lending. Ocrolus operates as a remote-first organization with a culture rooted in empathy, curiosity, humility, and ownership.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Python pandas scikit-learn Hugging Face SQL Snowflake Postgres LLMs Machine Learning

Questions candidates ask

What is the salary range for the Lead Credit & Risk Data Science / Analytics role?

The full-time salary range is $230K to $270K, supplemented by equity and benefits.

Where is the position located?

The role is located in New York, United States, within a remote-first company environment.

How many years of experience are required?

Candidates must have 7+ years of professional experience in risk management, analytics, and/or data science.

What educational background is expected?

A Bachelor's or Master's degree in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering is required.

What technical stack and programming languages are used?

The role requires programming skills in Python, familiarity with libraries like pandas, scikit-learn, and Hugging Face, strong SQL skills, and experience with Snowflake or Postgres.

Ready to apply?

The application is on the official Ocrolus Inc. careers page.

Apply on company site