Senior Analyst - Data Science
- LatentView
- 4 - 7 years
- Madurai
- 29 days ago
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Job Description
- Develop and deploy predictive models for MCA risk-related use cases including:
- Default prediction
- Risk scoring
- Fraud detection
- Renewal propensity
- Delinquency forecasting
- Collections optimization
- Analyze merchant transaction data, repayment behavior, bank statements, and portfolio trends to identify business and risk insights.
- Build and optimize complex SQL queries for large-scale data extraction, transformation, and analysis.
- Design scalable data science workflows and analytical pipelines using Python.
- Perform exploratory data analysis (EDA), feature engineering, model training, validation, and monitoring.
- Collaborate with underwriting, credit risk, operations, and business stakeholders to translate business problems into analytical solutions.
- Evaluate model performance using statistical and machine learning metrics and continuously improve model accuracy and stability.
- Work with structured and semi-structured financial datasets from multiple internal and external data sources.
- Support portfolio monitoring and early warning systems for risk mitigation.
- Prepare dashboards, reports, and presentations for senior leadership and business stakeholders.
- Ensure analytical solutions align with regulatory, compliance, and business requirements.
- Strong expertise in SQL, Python, and Machine Learning (Scikit-learn, XGBoost, MLFlow).
- Good understanding of supervised/unsupervised learning, statistical analysis, feature engineering, and model evaluation.
- Experience with Pandas, NumPy, Matplotlib, Seaborn, AWS, BigQuery, and Git.
- Strong domain knowledge in Merchant Cash Advance (MCA), alternative lending, and financial risk analytics.
- Understanding of underwriting, credit risk, ACH/payment behavior, fraud analytics, collections, and portfolio monitoring.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Experience with Power BI/Tableau, MLOps, and portfolio analytics is preferred.
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, AI, Finance Analytics, Engineering, or related fields.
- Ideal candidate should have strong hands-on data science and risk analytics experience with the ability to deliver scalable business solutions.
Job Classification
Industry: Management ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: LatentViewLocation(s): Madurai
Keyskills: python lending scikit-learn power bi numpy machine learning sql pandas microsoft flow tableau git seaborn data science stakeholder management matplotlib statistical modeling bigquery xgboost aws risk analytics communication skills financial risk
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