Senior Analyst - Data Science
- LatentView
- 4 - 7 years
- Madurai
- 5 days ago
- Email to a friend
- Report this job
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.
Technical Skills
- Strong expertise in SQL: complex joins, window functions, query optimization, data aggregation, and analytical querying.
- Proficient in Python programming.
- Hands-on experience with ML frameworks/tools: Scikit-learn, XGBoost, MLFlow.
- Strong understanding of supervised/unsupervised learning, classification, regression, feature engineering, statistical analysis, and model evaluation.
- Experience with Python libraries: Pandas, NumPy, Matplotlib, Seaborn.
- Exposure to AWS, BigQuery, and Git.
- Experience in Merchant Cash Advance (MCA), alternative lending, or financial risk analytics.
- Knowledge of underwriting, credit risk, ACH/payment behavior, fraud analytics, collections, and portfolio risk monitoring.
- Experience handling financial and transactional datasets.
- Strong analytical and problem-solving skills.
- Ability to convert business problems into scalable analytical solutions.
- Good communication and stakeholder management skills.
- Ability to work independently and in global teams.
- Experience in FinTech/MCA organizations.
- Exposure to MLOps and model deployment.
- Experience with Power BI or Tableau.
- Understanding of risk strategy and portfolio analytics.
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 scikit-learn power bi engineering numpy machine learning artificial intelligence sql unsupervised learning pandas tableau git seaborn data science matplotlib statistical modeling bigquery aws statistics risk analytics communication skills ml
Similar positions
LatentView
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrac...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in