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Jeeves

Location:
Colombia, Bogotá

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a highly analytical Credit Analyst to help develop data-driven credit policies and support the growth of Jeeves’ global credit portfolio. In this role, you will use a wide range of internal and external data sources to refine underwriting criteria, strengthen new customer originations, and reduce credit risk. You will contribute to advancing our data and analytics framework, leveraging statistical methods and credit risk models to generate insights and drive strategy. Additionally, you will enhance credit monitoring and governance by building dashboards, improving reporting processes, and refining risk rating practices. This role requires strong technical proficiency, a solid foundation in credit risk analytics, and the ability to turn complex data into actionable business strategies.

Job Responsibility:

Develop best in class data-driven credit policies and business strategies: Leverage external (e.g. banking, tax, financial, credit bureau and other data) and internal performance data to develop credit policies (e.g. underwriting criteria, dynamic credit limit programs, etc.)
Minimize credit loss by developing and implementing appropriate processes and procedures to identify and mitigate high risk customers
Design and implement data-driven strategies to improve funnel metrics and credit quality for new customer originations
Work closely with the sales and business development teams to support business growth strategies that preserve effective underwriting and ensure the appropriate application of Jeeves’ credit policy
Deliver advancements in data and analytics: Contribute to the development of a data and analytics framework to improve processing, underwriting, tracking, risk management, and reporting procedures
Design and execute data driven analyses and tracking procedures to enhance insights on credit risk for individual, and the portfolio of companies
Leverage predictive statistical methodologies (e.g., linear/logistic regression, segmentation analysis) to draw insights and develop business strategies
Partner with data scientists to build and leverage credit risk models to optimize credit policies and improve business performance
Improve credit monitoring and governance: Build dashboards to monitor portfolio health and strategy performance
Develop and implement improvements to credit portfolio monitoring, client review tracking, management reporting, and customer risk rating assignments

Requirements:

4+ years in analytics within credit risk management
Fluent in English
Excellent written and verbal communication skills
Intellectual curiosity
Ability to translate complex data and model results into actionable business strategies
Proficiency in SQL and Excel
Experience using Python or R for data analysis and statistical modeling (regression, clustering, etc.)

Nice to have:

Experience in commercial credit risk, specifically within credit cards, payments, lending, or related industries
Experience utilizing alternative data sources
Experience in architecting, implementing, and interpreting risk/scoring models in conjunction with data science teams
Experience in high growth startups preferred
Experience with visualization tools such as Tableau
Experience building complex financial products and models

Additional Information:

Job Posted:
December 09, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Business Analyst