
Artificial Intelligence • Fintech • Banking
Worth AI is a company that specializes in enhancing financial security and risk management through advanced AI-driven solutions. Their platform offers a suite of tools designed for seamless onboarding, compliance, and credit risk assessment. They help banks, fintech companies, and credit unions streamline operations by automating processes such as KYC/KYB compliance, reputation monitoring, and automated credit underwriting. Worth AI's technology provides real-time risk monitoring, predictive analytics, and AI-generated insights to improve decision-making, safeguard institutions, and boost revenue. Key offerings include Worth Score™, an AI-driven credit score solution, and unique AI underwriting systems that enhance the accuracy and efficiency of financial assessments.
11 - 50 employees
🤖 Artificial Intelligence
💳 Fintech
🏦 Banking
November 15

Artificial Intelligence • Fintech • Banking
Worth AI is a company that specializes in enhancing financial security and risk management through advanced AI-driven solutions. Their platform offers a suite of tools designed for seamless onboarding, compliance, and credit risk assessment. They help banks, fintech companies, and credit unions streamline operations by automating processes such as KYC/KYB compliance, reputation monitoring, and automated credit underwriting. Worth AI's technology provides real-time risk monitoring, predictive analytics, and AI-generated insights to improve decision-making, safeguard institutions, and boost revenue. Key offerings include Worth Score™, an AI-driven credit score solution, and unique AI underwriting systems that enhance the accuracy and efficiency of financial assessments.
11 - 50 employees
🤖 Artificial Intelligence
💳 Fintech
🏦 Banking
• - Actively develop (code) machine learning or statistical models in a cloud environment, and work with engineering teams to deploy and optimize them in a production state • - Connect systems and large data sets across the company to develop predictive models that adjust to emerging customer, economic, and business trends • - Monitor performance of models with respect to accuracy and retrain as necessary, while also leveraging new data sources as they become available • - Mine data from multiple source systems to support internal analysis as required • - Regularly present or demo recent work to executive and product teams
• - 4+ years of work experience with a Bachelor Degree (or equivalent four-year degree), or 2+ years of work experience with a Masters Degree (or equivalent six-year degree), or a PhD in a data or technology intensive field • - Knowledge of and professional development experience with common Machine Learning or Statistical techniques and their uses. Examples include Linear Regression, Ensemble Models, Density Based Scanning, Association Modeling, Topic Modeling, Monte-Carlo Simulation, Time Series Analysis and Forecasting, etc… • - Python and SQL languages, but will also consider R language or similar languages • - Experience with popular machine learning or statistical modeling packages such as scikit-learn, tensorflow, keras, pytorch, scipy, numpy, statsmodels or their equivalent packages in R • - Strong analytical skills with high attention to detail and accuracy • - Excellent verbal, written, and interpersonal communication skills along with solid deck or demo presentation skills • - Data Visualization tools such as Tableau or PowerBI • - Experience with cloud platforms (AWS, Azure, or GCP) • - Knowledge of Agile development methodology (Scrum or Kanban) • - Professional background in Financial Services, Financial Technology, Banking, Credit Risk or similar
• - Health Care Plan (Medical, Dental & Vision) • - Retirement Plan (401k, IRA) • - Life Insurance • - Flexible Paid Time Off • - 9 paid Holidays • - Family Leave • - Work From Home • - Free Food & Snacks (for those who choose to come to our Orlando office) • - Wellness Resources
Apply NowNovember 15
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