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Manage caregiver documentation, credentials, and training coordination for a U.S. staffing agency. This remote role is based in Mexico and offers 25 hours per week.
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Jeeves एक वित्तीय प्लेटफ़ॉर्म है जो कंपनियों को अंतरराष्ट्रीय खर्च और भुगतान एक ही जगह पर प्रबंधित करने में सहायता करता है। इसकी सेवाओं में कॉर्पोरेट कार्ड जारी करना, खर्च प्रबंधन, सीमा-पार धन हस्तांतरण, विदेशी मुद्रा और सीधे लेखांकन एकीकरण शामिल हैं। यह 25 से अधिक देशों और कई मुद्राओं में कामकाज को समर्थन देता है। इन सभी सुविधाओं को एक साथ लाकर, Jeeves व्यवसायों को अलग-अलग वित्तीय साधनों पर निर्भरता कम करने और रोज़मर्रा के वित्तीय संचालन को बेहतर बनाने में मदद करता है। कंपनी बैंक नहीं है; अपनी सेवाएँ देने के लिए यह लाइसेंस प्राप्त बैंकों और अन्य वित्तीय संस्थानों के साथ काम करती है।
Senior Credit Analytics Business Analyst - Argentina Remote
Jeeves is seeking a Senior Business Analyst to strengthen credit analytics, risk modeling, and automated decisioning for its corporate cards, payments, and spend management platform. The role supports portfolio monitoring, credit policy, and data-driven strategies across Latin America.
विवरण
- Integrate and validate external data sources, including credit bureau, banking, open finance, tax, and financial data.
- Improve customer consent and connection records to support reliable, compliant data access and refreshes.
- Convert manual credit and portfolio processes into repeatable, documented SQL and Python workflows.
- Establish data quality controls and maintain clear supporting documentation.
- Create and refine underwriting standards and credit limit strategies using internal and external data.
- Develop customer management approaches for credit line increases, decreases, and reinstatements.
- Detect high-risk customers and develop processes to reduce potential losses.
- Work with Sales and Business Development to connect growth plans with credit policy.
- Set portfolio KPIs and create dashboards for portfolio health and strategy performance.
- Develop early-warning indicators and monitoring routines for accounts showing deterioration.
- Give Collections segmentation and prioritization insights to guide recovery efforts.
- Support loss projections and risk-adjusted return analysis in partnership with Finance.
- Use statistical techniques including logistic regression, segmentation, and clustering.
- Build, validate, and monitor credit risk models.
- Define automated credit decisioning rules and data requirements with Product and Engineering.
- Turn model findings into practical recommendations for credit leaders and business stakeholders.
- Use AI tools in analysis, validate their outputs against source data, and improve analytical workflows.
- Collaborate with data science, engineering, product, collections, and sales as an individual contributor without people-management responsibilities.
आवश्यकताएँ
- Three to seven years of analytics experience in credit risk, including hands-on commercial or SMB credit work in cards, payments, lending, or a related sector.
- Advanced SQL skills, including querying large, untidy datasets and checking data quality.
- Working proficiency in Python for analysis and statistical modeling, including regression, segmentation, and clustering.
- Experience with version control tools such as GitHub is advantageous.
- Capacity to work independently and take ownership of deliverables.
- Hands-on experience with external or alternative data sources, preferably including their integration or cleanup.
- Experience applying AI tools such as Claude, ChatGPT, or Gemini to analytical work.
- Demonstrated ability to turn analysis into implemented credit policy or strategy changes with measurable outcomes.
- Strong written and verbal communication skills for working with non-technical stakeholders.
- Professional fluency in English.
- Availability for substantial overlap with Latin American business hours.
- Knowledge of Latin American credit data and open finance ecosystems is preferred.
- Experience implementing, validating, or monitoring risk and scoring models with data science teams is preferred.
- Experience supporting collections strategies or early-warning programs is preferred.
- Experience with visualization platforms such as Tableau, Metabase, or Claude Visualization Tools is preferred.
- Fluency in Spanish and/or Portuguese is preferred.
- Experience in a fast-growing startup or fintech environment is preferred.
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