Global Data Insights Manager

2 days ago


Lahore, Punjab, Pakistan FINCA Impact Finance Full time

Company Overview

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FINCA Impact Finance is a global leader in responsible financial services. With 17 full-service banks and microfinance institutions, we serve over 2.8 million customers worldwide. Our mission is to deliver positive social impact and financial sustainability through inclusive finance.

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Job Description

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  • The Global Data Scientist will play a crucial role in the Credit Risk function, leveraging data from various sources to develop credit risk scoring models and provide actionable insights for decision-making.">
  • This role involves driving end-to-end data science projects using proven structures and methodologies, enabling analysis of trends, pattern recognition, prediction, artificial intelligence-driven process automation, and informed credit decisions.">
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Key Responsibilities

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  2. Define data modeling requirements, gather and validate information, apply statistical tests, and develop data structures to support business strategy and insights.">
  3. Develop in-house credit models, particularly scorecard models, and enhance existing credit risk models (Behavioral and Application Credit Scoring Models).">
  4. Utilize internal and external data sources, working with big data environments.">
  5. Support implementation teams on model testing, including development and execution of specifications, testing, and documentation.">
  6. Collaborate throughout the model lifecycle, from initiation to retirement, ensuring enhancements and recalibrations.">
  7. Execute monthly credit scoring models accurately and timely for the credit risk team.">
  8. Analyze and collect credit risk-related data, conduct segmentation, trending, and forecasting.">
  9. Propose and review credit expansion or tightening measures, presenting alternatives and discussing advantages and disadvantages based on data and industry expertise.">
  10. Test, validate, and oversee deployment of scorecards developed by external consultants.">
  11. Maintain and update enterprise data platforms with upstream data changes.">
  12. Provide test interfaces for users and carry out technical user training as required.">
  13. Adhere to data management standards and support the implementation of FINCA's Data Strategy.">
  14. Escalate SLA breaches or significant events to the Director Global Data Management.">
  15. Develop and maintain documentation on processes, procedures, models, reports, and statistical solutions.">
  16. Conduct ad hoc analysis as needed.">
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Requirements

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  • Bachelor's degree in Statistics, Mathematics, Actuarial Science, Computer Science, or a related quantitative field, plus at least 4 years of experience in commercial banking.">
  • A minimum of 4 years of data science and analytics performance experience.">
  • Experience with relational databases, SQL queries, and OLAP cubes is preferred.">
  • Development of Credit Score Cards is essential.">
  • Experience with common Data Science toolkits, such as R, Python, Weka, NumPy, MatLab, etc.">
  • Excellent skills in R and/or Python are highly desirable.">
  • Risk analytics experience, including model development, strategy, and framework, scorecard development, documentation, validation, governance, implementation, and automation.">
  • Machine Learning modeling techniques understanding.">
  • Credit bureaus and non-traditional data providers understanding.">
  • Query languages like SQL, Hive, Pig proficiency, and NoSQL databases experience, such as MongoDB, Cassandra, HBase.">
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Languages and Availability

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  • Fluency in English required.">
  • Up to 30% travel availability.">


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