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      1. Home/
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      3. AI in Finance and Risk Management

      AI in Finance and Risk Management

      Leverage Artificial Intelligence to strengthen financial decision-making and risk strategies. Discover how AI is transforming credit risk assessment, fraud detection, compliance, portfolio management, and market analytics.

      2nd Batch Starts : 7th May 2026Duration: 3 monthsFormat: Video + Live + Webinar + Tools

      No application fee • Limited seats

      AI in Finance and Risk Management
      What you’ll learn

      Learning Outcomes

      1

      Fundamentals of AI in Finance and Risk Management

      Explain the fundamentals of Artificial Intelligence (AI) and its applications in finance and risk management.

      2

      Applications Across Finance and Risk Management Domains

      Identify AI use cases for fraud detection, algorithmic trading, credit scoring, portfolio management, and compliance to apply AI-driven techniques for strengthening fraud detection and improving credit risk assessment.

      3

      Evaluating AI Solutions

      Evaluate data requirements, model performance, and explanations for financial AI systems.

      4

      Practical AI Implementation

      Develop a roadmap for adopting AI in BFSI (Banking, Financial Services, Insurance) while balancing innovation and risk.

      5

      Ethics, Law & Security

      Analyze AI-driven trading strategies and assess their ethical, legal, and regulatory implications.

      6

      Future Trends & Models

      Anticipate future trends such as decentralized finance (DeFi), blockchain-AI convergence, and quantum computing.

      Program structure

      Lesson Plan

      5 modules • 51hours total length

      Module 1: Foundations of AI in Finance

      What you'll learn
      • Define AI, ML, and DL in the BFSI and financial services context
      • Trace the history and evolution of AI adoption in finance
      • Differentiate structured vs. unstructured financial data and preprocessing needs
      • Apply predictive analytics and explainable AI (XAI) in finance
      • Evaluate AI infrastructure requirements and regulatory data constraints
      • Analyze case insights from JPMorgan COiN and HDFC Eva chatbot
      Skills you'll gain
      AI FundamentalsFinancial DataPredictive AnalyticsExplainable AIBFSI InfrastructureRegulatory AwarenessCase Study Analysis

      Module 2: AI for Fraud Detection

      What you'll learn
      • Identify major types of fraud in finance and analyze global/India trends
      • Apply ML and deep learning for anomaly detection and fraud prevention
      • Use graph analytics to detect fraud rings and collusion patterns
      • Apply NLP for real-time fraud alerts and monitoring
      • Explore federated learning for secure fraud detection across institutions
      • Analyze fraud detection in AML, fintech, and cross-border finance cases
      Skills you'll gain
      Fraud AnalyticsAnomaly DetectionDeep LearningGraph AnalyticsNLP AlertsAML ComplianceFederated Learning

      Module 3: AI in Credit Risk & Scoring

      What you'll learn
      • Compare traditional vs. AI-based credit scoring methods
      • Engineer and apply data features for credit scoring models
      • Design ML and DL models for credit risk and creditworthiness evaluation
      • Apply fairness principles in AI-driven lending decisions
      • Implement AI in retail, SME, and microfinance lending processes
      • Build early warning systems and alternative scoring models for India’s context
      Skills you'll gain
      Credit ScoringRisk ModelingDeep LearningFair LendingSME LendingEarly Warning SystemsAlternative Scoring

      Module 4: AI in Trading & Investment

      What you'll learn
      • Differentiate rules-based vs. AI-driven algorithmic trading approaches
      • Apply ML and reinforcement learning in trading optimization strategies
      • Use portfolio optimization and sentiment analysis to improve returns
      • Evaluate risk-adjusted returns with AI-driven models
      • Ensure compliance and ethical considerations in AI trading systems
      • Explore robo-advisors, HFT, hedge funds, and ESG investing with AI
      Skills you'll gain
      Algorithmic TradingReinforcement LearningPortfolio OptimizationSentiment AnalysisRisk-Adjusted ReturnsRobo-AdvisorsESG AI Investing

      Module 5: Governance, Compliance & Future Trends

      What you'll learn
      • Design AI governance frameworks and model risk management practices
      • Apply AI audit, monitoring, and assurance mechanisms
      • Interpret BFSI regulations: DPDP, GDPR, Basel III, RBI, SEBI guidelines
      • Apply transparency, accountability, and ethical frameworks in financial AI
      • Explore future trends: DeFi, quantum computing, InsurTech, next-gen AI
      • Analyze Indian fintech case studies in governance and risk innovation
      Skills you'll gain
      AI GovernanceRisk ManagementCompliance FrameworksEthical AIRegulatory AwarenessDeFi & Quantum AIFinTech Case Analysis
      Eligibility
      Who can apply

      Eligibility Criteria

      We welcome finance professionals and analytical thinkers eager to apply AI in optimizing financial decision-making, risk assessment, and business strategy.

      1

      No Coding Required

      No programming experience is necessary; comfort with data analysis and interpretation is preferred.

      2

      Finance & Risk Background

      Ideal for individuals with experience or interest in finance, business management, or risk and compliance functions.

      3

      Open to Industry Professionals

      Designed for professionals working in BFSI, consulting, or fintech sectors looking to leverage AI for smarter financial insights and risk management.

      4

      Who Should Apply

      BFSI professionals in banking, trading, and insurance, risk management officers, FinTech entrepreneurs, product leaders, investment analysts, portfolio managers, consultants in finance, risk, and AI strategy, and students aspiring to careers in BFSI and financial analytics.

      Certificate & Accreditation

      Certificate

      Earn a recognized certificate that can be put up on your LinkedIn profile to enhance your career prospects. Digital certificate upon successful completion; aligned with global recognition frameworks for mobility.

      Certificate mockup

      Start your AI in Finance and Risk Management journey

      Join live sessions, learn with guided materials, and build a practical capstone.

      ❓ Frequently Asked Questions

      Got questions?

      Search by topic to find quick answers.

      Who should enroll in this program?

      This program is best suited for BFSI professionals in banking, trading, and insurance, as well as risk management and compliance officers. It also benefits FinTech entrepreneurs, product leaders, investment analysts, portfolio managers, and consultants in finance, risk, and AI strategy advising on digital transformation.

      Are classes live or self-paced?

      The program offers a flexible learning experience with live interactive classes, recorded sessions, and a webinar with finance and risk experts. All live classes are also recorded and made available on the LMS for easy access. Learners also benefit from guided demonstrations of AI tools used in credit scoring, fraud detection, compliance monitoring, and risk modeling.

      Do I need a technical background to apply?

      No. The course is designed to build AI knowledge step by step, focusing on its practical applications in finance and risk management.

      What career opportunities can I expect after completing this course?

      Graduates of this program can pursue impactful roles across finance, banking, and risk management, including:

      • Financial Risk Analyst: Use AI-driven models to identify, measure, and mitigate risks in lending, trading, and financial operations.
      • Fraud Detection Specialist: Apply machine learning algorithms to detect anomalies, prevent fraudulent activity, and safeguard financial systems.
      • Credit Risk & Scoring Analyst: Develop and implement AI models for credit assessment, loan approvals, and repayment predictions.
      • Quantitative Researcher / Algo Trader: Build algorithmic trading strategies powered by AI to optimize market performance and portfolio returns.
      • BFSI Compliance & AI Governance Manager: Ensure AI applications in finance adhere to regulations, ethical frameworks, and compliance standards.
      • FinTech Product Strategist: Lead the design and rollout of AI-enabled financial products, from digital lending platforms to robo-advisors.
      • Investment & Portfolio Analyst: Leverage AI to forecast market trends, evaluate portfolio risks, and support smarter investment decisions.

      How is this program different from a general AI course?

      This 3-month certification program goes beyond theory by focusing on AI’s role in risk management, fraud detection, compliance, portfolio analysis, and financial forecasting. Learners gain practical exposure to finance-specific AI tools, making the skills directly relevant to their careers. Online and recorded sessions ensure flexibility for professionals in demanding roles.

      Will I get a certificate after completing the program?

      Yes. Learners will receive a certificate in AI in Finance & Risk Management from Amity Online, recognizing different achievement levels of the learners, such as completion, attendance, and excellence (merit/distinction).

      Is this program suitable for working professionals?

      Yes. The program is tailored for finance professionals, auditors, compliance officers, consultants, and investment managers who want to upskill without leaving their careers on hold. With flexible online delivery, recorded content, and modular learning, it fits seamlessly into the schedules of working professionals.

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      Program: AI in Finance and Risk Management