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Structured Curriculum
Concepts mapped from core MBA/Finance domains to modern FinTech tracks, with progressive difficulty.
FinTech Training & Mentor-Led Learning for Future Finance Leaders
FFT helps MBA, BBA, Research Analysts, Accounting & CA students and professionals build job-ready skills across finance, analytics, risk, fintech, blockchain, and AI for finance — with structured curriculum, projects, and personalised mentorship.
4+
Curriculum Levels
30+
Practical Sub-Topics
Mentor
Guided Projects
Get a free mentorship call
Share your background and goals — we’ll suggest the right track.
What you get
A structured program built for clarity, confidence, and career outcomes.
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Mentor-Led Learning
Weekly mentorship, doubt-solving, and personalised feedback—so you learn faster and avoid confusion.
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Practical Projects
Case studies, mini-projects and finance toolkits (templates, models, dashboards) for real-world readiness.
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Analytics & Tools
Learn Excel/Sheets modeling, market analysis, basic data thinking, and frameworks used in finance teams.
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Interview & Career Support
Resume tuning, role-specific prep (Analyst/Finance/FinTech), mock interviews, and a clear job strategy.
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Capstone Track
Choose a specialization: Risk, Analytics, Blockchain, Digital Banking, or Algo Trading and build a portfolio.
Curriculum (TOC + subtopics)
A practical curriculum designed for MBA/BBA/CA/Finance professionals—with real-world examples.
Level 1 — Core Finance Foundations 4 Modules
Financial & Management Accounting
- Financial statements (P&L, Balance Sheet, Cash Flow)
- Ratio analysis & performance interpretation
- Costing, budgeting, variance analysis
- Working capital & cash conversion cycle
Build strong accounting fundamentals and learn how companies report, measure, and improve performance.
Managerial Economics
- Demand–supply and pricing decisions
- Elasticity, market structures, competition
- Cost curves, break-even, contribution
- Macro basics: inflation, rates, growth
Understand how economic forces influence business decisions and financial markets.
Quantitative Methods
- Descriptive statistics & probability
- Distributions, hypothesis testing
- Correlation, regression basics
- Time value of money & sensitivity
Develop the quantitative foundation needed for analytics, risk, and finance decision-making.
Managing People & Organizations
- Team dynamics & leadership styles
- Stakeholder management
- Communication frameworks
- Ethics, governance, decision bias
Learn the people side of finance—collaboration, influencing, and organisational decision-making.
Level 2 — Business & Finance for Decision Makers 4 Modules
Marketing
- Customer segmentation & positioning
- Pricing, channels, and growth levers
- Brand basics for financial products
- Go-to-market for fintech offerings
Connect marketing fundamentals with the world of financial products and customer trust.
Financial Management
- Capital budgeting (NPV, IRR)
- Cost of capital & capital structure
- Valuation basics (DCF, comps)
- Dividend policy & financial planning
Master the decision frameworks used in corporate finance, investments, and valuation.
Operations Management
- Process mapping & bottlenecks
- Quality, capacity planning, KPIs
- Supply chain basics & forecasting
- Operational risk and controls
Learn how operations link to financial performance through costs, efficiency, and risk.
Introduction to FinTech
- FinTech landscape & business models
- Payments, lending, wealth platforms
- Regulatory basics & compliance lens
- FinTech product thinking & KPIs
Get a clear overview of modern FinTech and where careers and opportunities are growing.
Level 3 — Markets, Analytics & Strategy 4 Modules
Financial Analytics
- Excel modeling & scenario analysis
- Dashboarding basics & storytelling
- Revenue, cost, cohort thinking
- Forecasting fundamentals
Turn data into insights—learn analysis techniques used by analysts and finance teams.
Global Financial Markets & Products
- Equity, debt, derivatives overview
- Market participants and exchanges
- Yield curve, rates, FX basics
- Mutual funds, ETFs, structured products
Understand how markets work and how different instruments behave across cycles.
Blockchain & Applications
- Blockchain fundamentals & consensus
- Smart contracts and tokenization
- Use-cases: payments, identity, trade
- Risks: security, regulation, adoption
Learn blockchain concepts with practical applications and decision-ready understanding.
Strategic Management & Business Policy
- Competitive strategy & industry analysis
- Business models and value chain
- Risk, governance, and compliance lens
- Strategy execution & OKRs
Build strategic thinking to evaluate companies, products, and fintech opportunities.
Level 4 — Advanced FinTech Specializations 9 Modules
Financial Risk Analytics
- Credit, market, liquidity & operational risk
- VaR concepts, stress testing basics
- Risk metrics & governance frameworks
- Risk reporting and decisioning
Learn the building blocks of risk used in banks, NBFCs, and fintech underwriting teams.
Entrepreneurship in FinTech
- Idea to MVP: validation and GTM
- Unit economics and pricing models
- Regulatory readiness mindset
- Pitch deck and funding basics
For aspiring founders: learn how to build fintech responsibly with strong economics.
Machine Learning for Finance
- ML basics for forecasting & scoring
- Feature engineering for financial data
- Model evaluation & explainability
- Fraud detection patterns
Apply ML concepts to finance problems like credit scoring, churn, and anomaly detection.
InsurTech
- Insurance products & underwriting basics
- Claims, fraud, and risk pools
- Digital distribution models
- Analytics-led pricing and retention
Understand how insurance is being transformed by data, platforms, and automation.
Deep Learning Applications in Finance
- Time series models & sequence learning
- NLP basics for financial text
- Sentiment and event-driven signals
- Model risk and governance awareness
Explore where deep learning fits (and where it doesn’t) in finance use-cases.
Technology Disruptions in FinTech
- AI, open banking, APIs and platforms
- Cloud, cybersecurity basics for fintech
- RegTech trends & compliance automation
- Future of payments and identity
Stay updated on modern fintech tech stacks and their impact on products and regulation.
Digital Banking and Beyond
- Digital onboarding & KYC overview
- Customer journeys and CX metrics
- Core banking and product led growth
- Risk & compliance in digital channels
Understand how banks and fintechs build scalable digital experiences.
Algorithmic & High Frequency Trading
- Market microstructure basics
- Strategies: momentum, mean reversion
- Backtesting, risk controls, execution
- Ethics, compliance, practical limitations
Learn algo-trading concepts with a focus on disciplined thinking and risk management.
FinTech in Wealth Management
- Portfolio basics & asset allocation
- Robo-advisory and model portfolios
- Client profiling & suitability
- Performance reporting and rebalancing
Explore how technology is reshaping investing, advisory, and long-term wealth outcomes.
How we teach: Every module includes concept clarity + templates + case discussions + assignments.
Advanced tracks include a capstone portfolio project.
Need help choosing the right track?
Tell us your profile and target role—we’ll guide you.
Mentorship model
A simple structure that keeps you consistent and outcome-focused.
Weekly learning rhythm
- Plan: choose module + weekly goals
- Learn: videos/notes + examples + practice
- Build: assignments + case work + templates
- Review: mentor feedback + improvement plan
Mentor support includes
- Doubt solving and concept clarity
- Resume and LinkedIn positioning for finance roles
- Mock interviews: HR + role-specific questions
- Portfolio/capstone guidance
- Study routine + accountability
Outcomes you can expect
What changes after you complete the track.
Stronger Fundamentals
Confidence across accounting, finance decisions, and markets—without rote learning.
Job-Ready Skills
Models, dashboards, and frameworks to handle analyst-style tasks and case interviews.
FinTech Readiness
Clear understanding of fintech domains + advanced specializations (risk, AI, blockchain, trading).
Portfolio & Capstone
A tangible project that proves your skills—use it in interviews and LinkedIn.
Mentor Feedback
Regular feedback loops that help you learn faster and correct mistakes early.
Clear Career Direction
Role mapping: Analyst, Finance, Risk, FinTech product, Wealth, Research and more.
Learners say
Replace these with your real testimonials anytime.
“The curriculum is structured and practical. I finally understood valuation and risk concepts clearly.”
“Mentorship helped me build a portfolio. My interviews became more confident and structured.”
“The fintech modules connected theory with industry. Blockchain and digital banking were explained simply.”
FAQ
Quick answers to common questions.
Who is this program for?
MBA/BBA students, Research Analyst aspirants, Accounting professionals, and CA/CMA/CS learners who want
practical finance + fintech skills with mentorship.
Do I need coding knowledge for ML / Deep Learning tracks?
Not mandatory. We start from fundamentals and explain concepts with finance examples. If you want hands-on practice,
we guide you with basic Python learning resources.
How do I enrol?
Click “Enquire Now” or WhatsApp us. We’ll understand your goals and recommend the right curriculum level and track.
Is it online or offline?
This page is designed for online mentorship. If you also run offline batches, you can update the contact section with location details.
Contact & Enquiry
Ready to start? Share your profile and target role. We’ll suggest a learning path and mentorship plan.
Response time: within 24 hours
Language: English / Hindi
Mode: Online mentorship
Quick message
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