Job Description:
Our client is a Leading SMB Lender / Fintech and they are seeking a Customer-Facing Pricing Analyst who will create pricing (coding with Python and SQL) for products and liaise with sales. This role is within the Risk Analytics and Data Science organization.
Location: NYC 3 days a week
Responsibilities:
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Maintain, improve, and run simulations on our proprietary pricing algorithm using Python.
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Translate financial models and business logic into clean, scalable code, ensuring transparency and auditability.
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Work closely with Sales and Underwriting teams to gather feedback, understand edge cases, and implement changes that improve pricing accuracy and usability.
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Manage and deploy code releases through GitHub and Bitbucket, ensuring clean version control, well-documented commits, and reliable release processes.
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Serve as a technical resource during product launches or pricing model changes.
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Provide insights on market conditions by analyzing competitive data and synthesizing with Sales feedback.
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Analyze historical data to identify areas for pricing optimization and revenue improvement.
Requirements:
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Degree in a quantitative field (computer science, data science, economics, mathematics, statistics)
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3+ years of experience as a Sales engineer, solutions consultant, or python developer.
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Comfortable writing production-quality code in Python.
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Comfortable collaborating directly with the Sales team.
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Experience with data analysis in SQL, Python, and Excel
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Strong analytical, critical thinking, and creative problem-solving skills.
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Excellent written and verbal communication skills, and proven presentation skills. Ability to relay information to senior management in a succinct, insightful way.
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Flexible and productive in a hybrid working arrangement.
Keywords: Pricing, SQL, Python, Coding, Client Facing
Qualified candidates, please send your resume to Ilana Raz, Ilana@analyticrecruiting.com | For more opportunities, please visit www.analyticrecruiting.com.
