Qureos Mentor

Walee Technologies

Position Title: Data ScientistLocation: IslamabadExperience Required: Minimum 3 yearsEmployment Type: Full-TimeRole OverviewWe are seeking a skilled and mission-driven Data Scientist with at least 3 years of experience to join our team. The ideal candidate will lead the development, deployment, and monitoring of predictive credit scoring models while supporting critical analytics and decision systems across our lending product.Core ResponsibilitiesModel Monitoring &amp; Optimization:Continuously monitor deployed models, detect data drift, and retrain models to maintain accuracy, fairness, and stability.Dashboard Ownership:Design and maintain dashboards for loan performance, user behavior, and model health with regular updates and intuitive visualizations.Data Pipeline &amp; Quality Oversight:Collaborate with engineering and product teams to ensure reliable and clean data flow. Validate inputs and troubleshoot anomalies.Risk and Portfolio Analytics:Deliver insights on delinquency risk, repayment patterns, user segments, and portfolio performance.Stakeholder Reporting:Prepare regular performance and risk reports for leadership to support strategic and operational decisions.Data Experimentation &amp; A/B Testing:Design experiments to evaluate policy changes, eligibility criteria, and model iterations.Support in Regulatory &amp; Audit Documentation:Assist in preparing documentation for internal reviews and external audits, covering model rationale and validation.Ad-hoc Data Analysis:Respond to on-demand data needs from cross-functional teams including product, growth, and compliance.Key Performance Indicators (KPIs)- Model Accuracy Metrics: ROC-AUC, KS Score, Gini, Precision/Recall across cohorts- Model Stability (PSI/CSI): Frequency of drift detection and retraining- Dashboard Reliability: 98% uptime and consistent data refresh cadence- Model Deployment Speed: Time from drift detection to live update- Report Timeliness: On-time delivery of weekly/monthly insights- Default Rate Deviation: Accuracy of predictions vs actuals by risk bucketRequired Qualifications- Minimum 3 years of hands-on experience in data science, preferably in fintech or lending- Strong skills in Python, SQL, Mongo, and ML libraries (e.g., scikit-learn, XGBoost, pandas)- Experience in building and monitoring production-grade models- Understanding of credit scoring, portfolio risk, and model validation metrics- Familiarity with MLOps tools, cloud platforms (AWS), and visualization tools (e.g., Metabase, Power BI)Preferred- Background in Islamic finance or financial inclusion is a plus- Experience working with behavioral or transactional data- Ability to communicate findings clearly to non-technical stakeholdersJob Type: Full-timeWork Location: In person

Data Scientist

Job Description: Data ScientistPosition Title: Data ScientistLocation: IslamabadExperience Required: Minimum 3 yearsEmployment Type: Full-TimeRole OverviewWe are seeking a skilled and mission-driven Data Scientist with at least 3 years of experience to join our team. The ideal candidate will lead the development, deployment, and monitoring of predictive credit scoring models while supporting critical analytics and decision systems across our lending product.Core ResponsibilitiesModel Monitoring &amp; Optimization:Continuously monitor deployed models, detect data drift, and retrain models to maintain accuracy, fairness, and stability.Dashboard Ownership:Design and maintain dashboards for loan performance, user behavior, and model health with regular updates and intuitive visualizations.Data Pipeline &amp; Quality Oversight:Collaborate with engineering and product teams to ensure reliable and clean data flow. Validate inputs and troubleshoot anomalies.Risk and Portfolio Analytics:Deliver insights on delinquency risk, repayment patterns, user segments, and portfolio performance.Stakeholder Reporting:Prepare regular performance and risk reports for leadership to support strategic and operational decisions.Data Experimentation &amp; A/B Testing:Design experiments to evaluate policy changes, eligibility criteria, and model iterations.Support in Regulatory &amp; Audit Documentation:Assist in preparing documentation for internal reviews and external audits, covering model rationale and validation.Ad-hoc Data Analysis:Respond to on-demand data needs from cross-functional teams including product, growth, and compliance.Key Performance Indicators (KPIs)- Model Accuracy Metrics: ROC-AUC, KS Score, Gini, Precision/Recall across cohorts- Model Stability (PSI/CSI): Frequency of drift detection and retraining- Dashboard Reliability: 98% uptime and consistent data refresh cadence- Model Deployment Speed: Time from drift detection to live update- Report Timeliness: On-time delivery of weekly/monthly insights- Default Rate Deviation: Accuracy of predictions vs actuals by risk bucketRequired Qualifications- Minimum 3 years of hands-on experience in data science, preferably in fintech or lending- Strong skills in Python, SQL, Mongo, and ML libraries (e.g., scikit-learn, XGBoost, pandas)- Experience in building and monitoring production-grade models- Understanding of credit scoring, portfolio risk, and model validation metrics- Familiarity with MLOps tools, cloud platforms (AWS), and visualization tools (e.g., Metabase, Power BI)Preferred- Background in Islamic finance or financial inclusion is a plus- Experience working with behavioral or transactional data- Ability to communicate findings clearly to non-technical stakeholdersJob Type: Full-timeExperience:<ul><li>Data Scientist: 3 years (Required)</li><li>Financial Institution/ Bank: 3 years (Required)</li></ul>Work Location: In person

Location: Islamabad (On-site) Hakeem Easy Finance is looking for a Customer Service Associate to join our growing team in Islamabad. If you're passionate about helping customers, have strong communication skills, and are eager to grow in a fast-paced fintech environment, we want to hear from you!Key Responsibilities:<ul><li>Respond to customer inquiries via phone calls, resolving issues related to loan applications, disbursements, repayments, or account status.</li><li>Make outbound calls for follow-ups, repayment reminders, and customer feedback collection.</li><li>Guide users through the mobile application and educate them on how to use the platform effectively.</li><li>Provide accurate, valid, and complete information by using the right methods and tools.</li><li>Handle complaints, provide appropriate solutions and alternatives within the time limits, and follow up to ensure resolution.</li><li>Maintain detailed records of customer interactions, transactions, comments, and complaints in the CRM system.</li><li>Escalate unresolved issues to the relevant departments (tech, recovery, finance) as per standard operating procedures.</li><li>Meet individual and team performance targets (KPIs) such as call quality, average handling time (AHT), and customer satisfaction scores.</li><li>Adhere to data protection and confidentiality guidelines when handling customer information.</li></ul>Requirements:<ul><li>Fresh graduates or up to 1 year of experience in customer service or a call center environment.</li><li>Excellent written and verbal communication skills in English and/or Urdu.Tech-savvy and comfortable using CRM tools and online platforms.</li><li>Ability to multitask and stay organized under pressure.</li><li>A positive attitude and eagerness to learn.</li></ul>Timings: 9AM to 6PMSalary &amp; Benefits: PKR 40,000/monthJob Type: Full-timePay: Rs40,000.00 per monthWork Location: In person

Customer Service Associate (onsite, I-9 Islamabad)

Join Walee Technologies and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Walee Technologies

ABOUT_COMPANY

Data Scientist

Data Scientist

Customer Service Associate (onsite, I-9 Islamabad)