Data Scientist

🔥 0 minutes ago

🌐 Costa Rica, El Salvador, +4 more countries – Remote

🇨🇷 Costa Rica – Remote 🇸🇻 El Salvador – Remote 🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇬🇹 Guatemala – Remote 🇳🇮 Nicaragua – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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World Business Lenders, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🤝 B2B

💳 Fintech

Finance • B2B • Fintech

World Business Lenders, LLC is a direct lender that specializes in providing real-estate secured business loans to small-to-medium-sized businesses. The company focuses on serving under-served businesses that lack access to traditional funding, facilitating access to capital for business expansion and growth. With a strong management team experienced in financial services, World Business Lenders offers working capital solutions to foster the development of successful small businesses.

📋 Description

• Analyze and validate internal credit, risk, valuation, and recovery models against historical loan and portfolio outcomes • Build predictive and forecasting models for loan performance, defaults, payoff timing, collateral value changes, recovery outcomes, costs, and timelines • Design and run backtests, sensitivity analyses, scenario comparisons, and time-based analyses across large historical datasets • Extract, clean, reconcile, and validate data from large, multi-source lending and real estate datasets • Identify factors predictive of loan performance, collateral outcomes, and realized recoveries • Build simple tools allowing stakeholders to explore model results and scenarios • Investigate and document data quality issues, edge cases, model limitations, and inconsistencies • Translate analytical findings into recommendations for underwriting, credit, pricing, portfolio management, and risk management • Maintain clean, reproducible, well-documented analytical and modeling work • Present analyses and findings clearly to teams and stakeholders • Participate in daily BLV alignment meetings

🎯 Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Finance, Economics, or a related field • 3 to 7 years of experience in data science, applied modeling, or quantitative analytics • Stable, reliable internet connection • Professional and dedicated remote working setup • Background or strong interest in finance, banking, commercial lending, U.S. real estate, or property valuation • Familiarity with commercial or small business lending is a plus • Experience with predictive modeling, forecasting, survival/time-to-event analysis, or other time-based estimation problems • Experience with credit risk, default, loss, recovery, model validation, or scenario/sensitivity analysis is a plus • Experience reconciling and cleaning data from multiple sources or systems • Strong proficiency in Python and SQL • Experience with statistical modeling, machine learning, forecasting, or related quantitative techniques, including model evaluation and validation • Experience working with large datasets, including writing efficient, performance-conscious data processing code • Experience building simple, shareable analytical tools or dashboards is a plus • Strong data communication skills and ability to explain complex analytical and modeling findings to technical and non-technical audiences • Ability to work autonomously and proactively in ambiguous situations

🏖️ Benefits

• Paid time off (PTO) • Fully remote work environment