Data Science & AI for BFSI
Why Data Science in BFSI?
The financial sector is the largest consumer of Data Science & AI. Prepare for high-paying roles in Fintech.
Domain Expertise
Learn to apply DS techniques to Risk Modeling, Fraud Detection, Algorithmic Trading, and Customer Churn.
Risk Management
Master Credit Risk Modeling and Regulatory Compliance (Basel, CCAR) analytics used by major banks.
Fintech Ready
From traditional banking to modern Fintech apps, AI is driving personalization and automation. Be part of this transformation.
Live Financial Projects
Build a portfolio with real-world financial datasets: Stock Price Prediction, Loan Default Prediction, and Customer Segmentation for Banking.
The BFSI Curriculum
From Python basics to Advanced Financial Machine Learning.
Role of Analytics in BFSI
- BFSI Analytics Landscape
- Key Problem Areas and KPIs
- Business Case: Insurance Customer Segmentation
Data Collection in BFSI
- Structured vs. Unstructured Data
- Internal & External Data Sources
- Business Case: Credit Score Prediction
Data Cleaning and Pre-processing
- Handling Missing Data, Outliers
- Categorical Encoding, Normalization
- Business Case: Customer Retention Analysis
Basics of Statistics
- Mean, Median, Mode, Variance
- Distributions in BFSI Context
- Business Case: Claim Amount Distribution
Hypothesis Testing & Correlation
- T-tests, Chi-square, ANOVA
- Pearson/Spearman Correlation
- Business Case: Employment Status & Loan Default
Exploratory Data Analysis (EDA)
- Visual and Numerical Summaries
- Histograms, Boxplots, Heatmaps
- Business Case: Credit Card Fraud Detection
Linear Regression Essentials
- Simple vs. Multiple Regression
- Use Cases in Insurance and Lending
- Business Case: Predicting Insurance Premiums
Model Evaluation Metrics
- R², RMSE, MAE Explained
- Business Case: Loan Amount Prediction
Feature Engineering Techniques
- Variable Importance, Multicollinearity, VIF
- Business Case: Feature Design for Loan Default Prediction
Introduction to Classification
- Logistic Regression, Decision Trees
- Business Case: Loan Approval Prediction
Model Performance for Classification
- Confusion Matrix, ROC, F1-score
- Business Case: Policy Lapse Detection
Clustering Techniques
- K-means, Hierarchical Clustering
- Business Case: Credit Card Customer Segmentation
Case Study - Insurance Risk Modeling
- Step-by-step Project Walkthrough
- Objective: Claim Prediction Model
Case Study - Credit Risk Scorecard
- Objective: Default Risk Score Using Analytics
- End-to-end Pipeline Overview
Wrap-Up & Future Trends
- Analytics Career Roadmap
- BFSI Industry Use of AutoML, GenAI
- Live Q&A and NASSCOM Certification Discussion
Master the Tools of the Trade
Get hands-on experience with the practical tools and platforms used by top engineering teams worldwide.
Jupyter
NotebooksTableau
VisualizationPowerBI
VisualizationPython
Core LanguageAWS
CloudSlack
CommunicationJira
Project MgmtGitHub
Version ControlGit
Version ControlOpenAI
AI AssistantGemini
AI AssistantZoom
CommunicationBuild Financial Models
Solve critical problems in the banking and finance industry.
Fraud Detection System
Detect anomalous transactions in real-time using ensemble methods like Isolation Forests and XGBoost.
Loan Default Prediction
Build a credit scoring model to predict the probability of a borrower defaulting on a loan.
Stock Price Prediction
Use LSTM neural networks to predict future stock prices based on historical trends and news sentiment.
Earn a Certificate that
Proves Your Expertise
Upon successful completion of the course and capstone project, you will receive an industry-recognized certification from Aideas Academy.
We Don't Just Teach.
We Get You Hired.
Resume Building
Craft a world-class resume that stands out. We help you highlight your skills and projects effectively.
- ATS Optimized
- Project Highlighting
- Keyword Strategy
Mock Interviews
Practice with industry experts. Get real-time feedback to crack technical and HR rounds with confidence.
- Technical Rounds
- HR Questions
- Confidence Building
Career Mentorship
1-on-1 guidance from seniors in top MNCs. Map out your career path and meaningful growth strategies.
- 1-on-1 Sessions
- Industry Insights
- Growth Roadmap
Job Alerts
Get exclusive access to our hiring network. We connect you directly with startups and MNCs hiring now.
- Exclusive Openings
- Direct Referrals
- Interview Scheduling
"The specialized curriculum for BFSI helped me switch from a support role to a Risk Analyst position in a top bank."
Related Courses
Expand your skills with these complementary certification programs.
Frequently Asked Questions
Is finance background required?
Not mandatory. We teach the necessary domain knowledge alongside technical skills. However, an interest in finance is helpful.
What roles can I apply for?
You can apply for Data Scientist in Banking, Credit Risk Analyst, Fraud Analyst, Quantitative Analyst, and Financial Data Analyst roles.
Do you cover Regulatory Compliance?
Yes, we touch upon how data science models are used in compliance (KYC/AML) and regulatory reporting.
Launch Your Fintech Career
Join the high-growth sector of Banking & Financial Services.