Learning Pathways and Certifications

Key Highlights:

• Financial & Analytical Skills
• Technical & Data Skills
• Market & Industry Knowledge
• Soft & Professional Skills

Duration: 38 Hours

Tools: Excel, Solver, Power Query

Key Highlights:

• F&O, option chain analysis & analytics
• Derivatives pricing models and applications
• Hedging & risk management strategies
• Real-world trading & investment use cases

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• VaR, CVaR & Monte Carlo simulations
• Credit risk assessment & stress testing
• Statistical methods for portfolio risk
• Industry-standard risk models for IB

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Fundamental analysis of stocks & sectors
• Valuation modeling and forecasting techniques
• Equity research report building
• Equity report reading & writing skills

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• M&A process & deal lifecycle
• Synergy analysis & valuation of intangibles
• LBO modeling & deal structuring
• Due diligence & risk assessment

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Core options strategies (spreads, straddles, condors)
• Application of Greeks (Delta, Gamma, Theta, Vega)
• Evaluating portfolio-level Greeks and profiles
• Hedging & Options VaR calculation techniques

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• 3-Statement modeling (Income, Balance Sheet, Cash Flow)
• Valuation techniques (DCF, LBO, Comparable Analysis)
• Scenario & sensitivity analysis for risk assessment
• Data visualization & dashboards for financial insights

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Revenue, cost, and cash flow projections
• Valuation models (DCF, LBO, Multiples-based)
• Scenario & sensitivity analysis for risk assessment
• Excel-based dynamic financial modeling

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Time series forecasting for financial trends
• Multiple & logistic regression modeling
• ML & AI for risk assessment
• Monte Carlo simulations & scenario analysis

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Data modeling & transformation for finance
• Interactive dashboards with real-time insights
• DAX & Power Query for automation
• KPI tracking and performance monitoring

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Pandas & NumPy for data manipulation
• Regression & Monte Carlo for risk modeling
• Time-series forecasting for market trends
• ML & AI-driven financial modeling

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Equities, fixed income, and valuation
• Derivatives & structured products (options, swaps)
• Commodities, FX & alternative investments
• Risk-return analysis and portfolio strategies

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Time series forecasting for risk variables
• Statistical risk modeling with regression
• ML & AI-driven risk analysis
• Monte Carlo simulations & stress testing

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Pandas & NumPy for data handling
• Risk modeling with regression & Monte Carlo
• Time-series forecasting for risk trends
• ML & AI for predictive analysis

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• VaR models (Parametric, Historical, Monte Carlo)
• Correlated Monte Carlo portfolio simulations
• Backtesting & model validation techniques
• Basel 2.5 & FRTB calculations in Excel

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Build VaR models
• Perform portfolio simulations
• Apply backtesting methods
• Handle RNIV treatment

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• PD, LGD, EAD modeling techniques
• Credit scoring and ratings validation
• Basel II & III IRB approach
• Stress testing and capital adequacy

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• SA-CCR, SA-CVA & IMM-CVA models
• Wrong-Way Risk identification & mitigation
• Monte Carlo PFE simulations for derivatives
• Basel III-compliant CCR frameworks

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• LCR & NSFR calculations and optimization
• Intraday liquidity and funding risk modeling
• Stress testing & contingency planning
• FR 2052a reporting requirements

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• FRTB-SA & IMA implementation
• Sensitivity aggregation and ES modeling
• Basel III capital computation techniques
• Excel & Python-based FRTB modeling

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Candlestick patterns & trend analysis
• Demand and supply zones and strategies
• Moving averages & momentum indicators
• Momentum and mean reversion strategies
• Risk management using technical indicators
• Developing a comprehensive trading plan

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Elliott Wave Theory & market cycles
• Harmonic patterns & Fibonacci extensions
• Advanced candlestick, OI & volume analysis
• Algorithmic indicators & quantitative models
• Technical analysis for options trading
• Live market trading & strategy optimization

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Statistical arbitrage & mean reversion strategies
• Factor investing & smart beta approaches
• ML & AI for predictive modeling in trading
• Volatility trading strategies using quantitative methods
• Backtesting and performance evaluation in Python

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Build automated trading systems for equities, FX & crypto
• Implement execution algorithms to minimize market impact
• Design technical analysis-based algorithmic strategies
• Create price action-driven trading algorithms
• Apply statistical arbitrage & mean reversion techniques
• Backtest and optimize strategies in Python

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Fundamentals of NLP, text preprocessing, tokenization
• NER, POS tagging & language parsing
• Sentiment analysis & classification models
• Word embeddings: Word2Vec, GloVe, FastText
• Topic modeling with LDA and NMF
• Build chatbots & fine-tune NLP models

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Python for data science applications
• Data wrangling with NumPy & Pandas
• Visualizations using Matplotlib & Seaborn
• ML basics with Scikit-Learn
• Jupyter Notebook for hands-on coding

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Probability, regression & hypothesis testing
• Time series forecasting
• Bayesian & statistical modeling
• Tools: SciPy, Statsmodels
• Real-world data interpretation

Duration: 2 Weeks

Tools: Excel, Solver, Power Query

Key Highlights:

• Supervised & unsupervised learning
• Classification, clustering, regression
• Ensemble models: XGBoost, Random Forest
• Time series: ARIMA, LSTM
• Real-world data interpretation

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Build interactive dashboards and reports in Power BI
• Connect and integrate multiple data sources efficiently
• Use DAX functions for advanced data calculations
• Apply Power Query for data transformation and cleaning
• Create custom visuals and interactive charts
• Use AI-powered insights for advanced analytics
• Perform real-time data monitoring and reporting

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Understand big data concepts and architecture principles
• Work with Hadoop, Spark, and distributed computing frameworks
• Use cloud-based storage for scalable data management
• Deploy data pipelines on AWS, Azure, and GCP
• Implement serverless computing with Lambda & Azure Functions
• Process streaming data using Kafka and Flink
• Optimize queries with cloud-based data warehouses

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Understand deep learning fundamentals and neural networks
• Build models using TensorFlow and PyTorch
• Train and optimize CNNs for image recognition
• Implement RNNs for sequence and time-series modeling
• Apply transformers for NLP and speech tasks
• Use GANs for generative AI applications
• Train models on cloud-based GPU environments

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Understand NLP fundamentals and text preprocessing
• Perform NER, POS tagging, and language parsing
• Implement sentiment analysis and classification models
• Use word embeddings like Word2Vec, GloVe, and FastText
• Apply topic modeling with LDA and NMF
• Build chatbots using NLP and deep learning
• Fine-tune pre-trained models with transfer learning

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• 3-Statement modeling (Income, Balance Sheet, Cash Flow)
• Perform NER, POS tagging, and language parsing
• Implement sentiment analysis and classification models
• Use word embeddings like Word2Vec, GloVe, and FastText
• Apply topic modeling with LDA and NMF
• Build chatbots using NLP and deep learning
• Fine-tune pre-trained models with transfer learning

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Forecasting revenues, costs & cash flows
• Valuation models (DCF, LBO, multiples)
• Scenario & sensitivity risk analysis
• Excel-based structured financial models

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• M&A lifecycle and deal processes
• Synergy analysis & valuation of intangibles
• LBO modeling & structuring techniques
• Due diligence & risk assessments

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Data modeling & integration in Power BI
• Interactive dashboards with real-time insights
• DAX functions for advanced calculations
• KPI tracking & performance reports

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Python programming & data structures
• Pandas for data manipulation
• Statistical modeling & forecasting
• Visualization with Matplotlib & Seaborn

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Equities, fixed income & valuation
• Derivatives & alternative investments
• Portfolio risk & return analysis
• Macroeconomics & market trends

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Probability & statistical distributions
• Regression modeling & forecasting
• Time series analysis for business trends
• ML & AI-enhanced predictive analytics

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Storyboarding & logical structuring
• Data visualization for clarity
• Professional design & formatting
• Best practices for consulting presentations

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow

Key Highlights:

• Structured writing for clarity
• Executive summaries and storytelling
• Data visualization for reports
• Formatting and professional presentation

Duration: 2 Weeks

Tools: Scikit-Learn, TensorFlow