Sr. Pricing Analyst - India

Full-time

India (Remote)

A Top Place to Work!

We believe in small businesses and the people who grow them. At Credibly, we leverage cutting-edge data science, technology, partner relations, and customer support to provide business owners with accelerated access to right-sized capital solutions. From working capital loans and merchant cash advances to lines of credit, we offer a suite of financing products that can accommodate nearly any stage of business development or credit profile.

Founded in 2010 with offices in Michigan, New York, and Arizona, we have provided access to over $3.1 billion to more than 61,000 small businesses nationwide. On top of being nominated as one of Crain’s 50 fastest growing companies in New York and making several appearances on the Inc. 500 list, Credibly was also recently named a Top 25 Lending Technology Company by The Financial Technology Report.

As a Senior Pricing Analyst at Credibly, you will be a key driver of our revenue and pricing strategy, balancing profit margin against expected loss, directly influencing our competitive edge by translating complex datasets into actionable pricing logic and test it with experiments, reporting to the Lead Pricing Analyst within the Risk Analytics and Data Science department of the organization. You will bridge the gap between business strategy and technical execution, participating in the full development life cycle of our proprietary pricing algorithms.

This role requires strong analytical skills, attention to detail, and the ability to communicate data effectively. At Credibly, your pricing models directly influence how small businesses access growth capital, giving you a direct line to revenue impact and executive decision-making.

• Market & Competitor Analysis:
  Analyze market dynamics, competitor pricing, and customer segment performance to capture market share profitably.
• Margin Optimization:
  Identify market trends and behavioral patterns to uncover opportunities for margin optimization and volume growth.
• Data Pipelines:
  Build, maintain, and validate robust data pipelines as the single source of truth for pricing logic, ensuring integrity and auditability.
• Executive Dashboards:
  Design and manage automated dashboards providing real-time visibility into Pricing KPIs for leadership.
• Python & Code Deployment:
  Write, test, and deploy production-level Python code to optimize our core pricing engine, using Git for version control.
• Pricing Simulations:
  Develop and iterate on pricing simulations using historical data to forecast what-if scenarios for conversion, margin and expected loss.
• A/B Testing Experiments & Deep Dives:
  Conduct ad-hoc deep dives and A/B test analyses to validate pricing hypotheses.
• Stakeholder
  
  Collaboration:
  
  Act as an analytical consultant for business stakeholders, translating commercial needs into technical requirements.

• Education:
  
  Bachelor's degree in a quantitative field (Business Analytics, Statistics, Economics, Computer Science, or related).
• Experience:
  
  4+ years of experience as a Data/Pricing Analyst with success in pricing strategy, preferably in Financial Services/Fin Tech.
• Technical
  
  Skills:
  
  Proficiency in SQL and production-level Python (Git) plus working knowledge of statistical testing. Familiarity with AI tools like Claude/Claude Code with an AI-forward mindset. Experience designing or analyzing experiments (A/B tests) and building risk-adjusted return or expected loss models.
• Soft Skills:
  
  Strong problem-solving abilities and clear communication skills for executive stakeholders.
• Remote
  
  Collaboration:
  
  Proven track record operating productively and collaborating cross-functionally in a remote/distributed environment.

• Advanced Degree:
  Master's Degree holder in a quantitative field (Business Analytics, Statistics, Economics, Computer Science, or related).
• Domain Expertise:
  Experience with small business or short-term lending, pricing scenario simulations, A/B testing, or risk-adjusted return modeling.
• Generative AI:
  Practical experience applying Generative AI or LLMs to accelerate coding tasks, analytical workflows, model documentation, or automated reporting.