Risk Analyst

United StatesRemoteFull-timemid

Risk AnalystData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Risk Analyst based in United States.

Technical Tools

Risk AnalystData & AI

This role is an opportunity to apply advanced analytics to credit risk, underwriting, and portfolio management in a fast-moving financial technology environment.
You will analyze diverse financial, behavioral, and credit datasets to support both new-account decisions and ongoing risk monitoring.
The position combines hands-on data analysis with a strong understanding of credit fundamentals and small-business financial performance.
You will help identify emerging risk signals, refine underwriting approaches, and improve portfolio performance through data-driven insights.
The role also contributes to product profitability analysis, including risk-adjusted returns, customer value, and credit losses.
You’ll work cross-functionally with teams across risk, product, data, and finance, with significant ownership over analytical projects.
This is a remote opportunity suited to an experienced analyst who enjoys solving complex problems and turning data into practical business decisions.

Analyze applicant information to support automated and manual credit underwriting decisions, using business financial statements, tax documents, banking data, and adjacent product activity.
Evaluate financial and behavioral data from sources such as accounting platforms, banking integrations, and internal product systems to identify relevant risk indicators.
Develop dashboards, analytical tools, and monitoring frameworks that surface real-time signals for underwriting and fraud detection.
Monitor existing customer accounts after origination, analyzing spending, payment behavior, credit utilization, engagement, and other indicators of changing creditworthiness.
Use internal data and third-party credit reports to identify emerging risks and assess trends in delinquency and payment performance.
Develop behavioral segments, performance cohorts, and portfolio analyses to support proactive account management and risk strategy.
Analyze the financial performance of an unsecured credit product, including interchange revenue, interest income, rewards costs, charge-offs, and other key P&L drivers.
Build models to evaluate customer lifetime value, profitability segmentation, and risk-adjusted returns.
Investigate drivers of credit losses and identify opportunities to improve portfolio margins and overall product economics.
Communicate analytical findings and recommendations clearly to cross-functional stakeholders and contribute to risk management and product strategy.

Requirements

~1 min read

5+ years of experience in data analytics, credit analytics, or a closely related analytical role, preferably within fintech, credit cards, SMB lending, or financial services.
Strong proficiency in SQL and/or SAS, with practical experience using Python or R for exploratory analysis, modeling, or automation.
Solid understanding of credit underwriting principles, risk analysis, and small-business financial analysis.
Experience interpreting business financial statements, including P&L statements, balance sheets, tax returns, and cash-flow information from banking sources.
Familiarity with credit bureau information and commercial credit reports.
Ability to work effectively with varied and complex datasets and translate quantitative findings into actionable business insights.
Strong analytical and problem-solving skills, with attention to detail and the ability to investigate drivers behind portfolio and credit performance.
Clear written and verbal communication skills, with the ability to explain technical findings and influence cross-functional stakeholders.
Intellectual curiosity, ownership, and comfort operating in a fast-paced environment where priorities and analytical questions can evolve quickly.