Senior Business Analyst - Credit & Analytics
J
JeevesCredit risk
Listing locations: Colombia; Location base: Colombia. This is a full-time remote position., Able to work with meaningful overlap with Latin American business hoursFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Professional fluency in English
- Experience
- 3–7 years of analytics experience in credit risk
- Required Skills
- PythonSQL
Requirements
- Have 3–7 years of analytics experience in credit risk.
- Have hands-on experience with commercial or SMB credit in cards, payments, lending, or a related industry.
- Use advanced SQL to query large, messy datasets and validate data quality.
- Have working proficiency in Python for analysis and statistical modeling, including regression, segmentation, and clustering.
- Have direct experience with external or alternative data sources such as bureau, banking, open finance, or tax data; integrating or cleaning these sources is ideal.
- Have experience using AI tools such as Claude, ChatGPT, or Gemini in analytical work.
- Show a track record of turning analysis into an implemented credit policy or strategy change with measurable results.
- Communicate model results and data issues clearly to non-technical stakeholders.
- Work independently and take ownership.
- Have professional fluency in English and be able to work with meaningful overlap with Latin American business hours.
- GitHub or other version-control experience is a plus.
- Preferred: knowledge of Latin American credit data and open finance ecosystems, experience with risk or scoring models, collections strategy or early-warning programs, and visualization tools such as Tableau or Metabase.
Responsibilities
- Lead the integration and validation of credit bureau, banking, open finance, tax, and financial data, partnering with engineering on pipelines and data quality.
- Clean up customer data consents and connections so external data can be pulled and refreshed reliably and in line with local requirements.
- Replace manual credit and portfolio processes with repeatable, documented SQL/Python workflows, and define data quality checks and documentation.
- Use internal performance and external data to develop underwriting criteria, credit limit strategies, and customer management strategies.
- Identify high-risk customers early and build processes to mitigate losses.
- Define portfolio KPIs, build dashboards, and establish early-warning signals and monitoring routines.
- Provide Collections with segmentation and prioritization insights, and contribute to loss forecasting and risk-adjusted return analysis with Finance.
- Apply statistical methods, develop and monitor credit risk models, and help define rules and data requirements for automated credit decisioning.
- Translate model results into recommendations for credit leadership and business partners, and use AI tools while verifying outputs against source data.
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