Jobs at NinjaHoldings

Owns the full lifecycle of email, SMS, and push marketing campaigns, including strategy, execution, QA, testing, deliverability, segmentation, reporting, and optimization. The role drives acquisition, retention, engagement, and conversion through data analysis, dashboards, competitive research, and journey optimization. It also requires debugging HTML/CSS and collaborating with product and engineering teams on marketing features.

Build predictive lending models, analyze consumer credit risk and portfolio trends, establish performance metrics, create automated SQL and Python dashboards, and design A/B tests for underwriting strategies. The internship runs May through August 2027 in a hybrid Chicago office setting and requires full-time availability.

Supports the marketing product roadmap and end-to-end delivery of marketing technology initiatives, including front-end and customer-facing experiences. Partners with engineering, legal, compliance, risk, and marketing stakeholders to define requirements, manage dependencies, track project status, resolve technical issues, and improve workflows. Helps ensure initiatives meet business goals and regulatory standards in a fintech environment.

Supports research, writing, editing, optimization, and distribution of consumer-focused fintech content across blogs, websites, email, social media, and other digital channels. Conducts SEO keyword research, supports GEO initiatives, monitors fintech trends, and follows brand, editorial, legal, and regulatory guidelines. Collaborates with marketing, content, and legal stakeholders to incorporate feedback and publish accurate, accessible financial content.

Supports data infrastructure development, monitoring, optimization, and reliability. Responsibilities include managing relational databases, assisting with BI and Data Science pipelines, supporting Snowflake, Fivetran, and dbt warehouse systems, tuning queries and databases, establishing monitoring and alerting, working with AWS, and writing automated data model tests.

Analyzes funnel and loan performance metrics, builds automated SQL and Python reporting and alerts, evaluates trends and A/B tests, and recommends underwriting and product optimization strategies. Collaborates with cross-functional teams to implement changes, monitor releases, and assess impacts.

Develop and maintain Ruby on Rails applications, write and review code, troubleshoot bugs, and collaborate with developers, QA engineers, product managers, and designers. The intern will receive mentorship while contributing to financial technology products and learning about scalable systems, testing, APIs, Agile methods, and consumer finance.

Supports the Marketing Analytics team by monitoring funnel metrics, analyzing performance with SQL and Python, identifying drop-off drivers, and communicating recommendations. Maintains dbt data models in Snowflake, enhances Periscope dashboards, and partners with Marketing, Risk, and Engineering on strategy changes, releases, testing, and impact analysis.

Summer legal intern supporting the Senior Corporate Counsel with in-house legal work involving consumer financial services, state and federal regulations, research, writing, analysis, and multiple concurrent assignments. The intern will gain practical exposure to corporate legal operations, consumer finance regulations, presentations, and generalist in-house counsel responsibilities.

Accounting Summer Intern supporting journal entries, financial statement analysis, account reconciliations, high-volume cash reconciliation, process improvements, and loan portfolio performance tracking. The intern will use SQL-based data visualization tools, assist with strategic accounting projects, and present analytical conclusions while collaborating with the Accounting team. This is a hybrid, full-time internship in Chicago from May through August 2027.

Support FP&A and Capital Markets activities, including corporate funding, liquidity management, financial modeling, budgeting, reporting, and loan portfolio analysis. Prepare operational reports for executive decision-making, monitor portfolio performance using SQL-based visualization tools, and provide analytical support to Operations, Product, Risk, and Technology teams. Assist with financing transactions, legal document review, and execution of warehouse facilities, private financings, and securitizations.

Senior Product Manager responsible for driving lending product strategy, roadmap prioritization, and end-to-end lifecycle management. Partners with Risk, Engineering, Marketing, Compliance, Finance, Legal, and other teams to deliver business outcomes. Uses data, experimentation, and AI/ML to improve conversion, approvals, funding, customer outcomes, and portfolio performance. Translates technical requirements, manages complex initiatives, and identifies opportunities to apply AI across underwriting, fraud, pricing, servicing, collections, and support.

Build, enhance, refactor, and integrate scalable software systems for digital banking and lending products. Translate business requirements into reliable software, consider service architecture, lead design and code reviews, investigate data issues, and contribute to engineering strategy. The role focuses on backend web applications, relational data modeling, performance improvements, external integrations, and collaboration with developers, QA, product managers, and technical leadership.

Build and validate predictive lending models, analyze consumer risk and portfolio impact, implement and monitor models with engineering, develop tooling and automated SQL/Python dashboards, design A/B tests, and communicate actionable insights to senior management.

Leads technical business analysis across engineering, product, finance, and analytics teams. Translates business and regulatory reporting needs into requirements, data models, dbt models, SQL queries, metrics, and reporting solutions. Manages projects, mentors analysts, analyzes and reconciles data, resolves quality issues, and establishes testing, documentation, auditability, and data quality standards.