Telicon Academy™ · 12 weeks · 48 lessons
Financial Engineering Professional Certificate
Markets, quantitative foundations, Python, fixed income, portfolios, derivatives, risk, econometrics, simulation and model governance. Educational only.
Telicon Academy™ programs are vendor-aligned where relevant but are not official SAP, Oracle, Microsoft or AWS certifications and do not imply vendor endorsement unless separately authorized.
Who it's for
Analysts, engineers and graduates with strong math who want quantitative finance or risk roles.
Prerequisites
- College-level algebra and some statistics
- Basic programming helpful
- About 15 hours per week
You'll be able to
- Price bonds and simple derivatives
- Build and optimize portfolios
- Measure and report risk
- Validate and document models
12-week curriculum
Week 1
Financial Markets, Instruments & Quantitative Foundations
How financial markets work · Instruments overview · Returns and compounding · Quantitative mindset and model risk
Week 2
Probability, Statistics & Linear Algebra for Finance
Random variables and returns · Estimation and inference · Vectors and matrices · Covariance and correlation
Week 3
Python & Data Workflows for Financial Modeling
Python for quants · Market data handling · Vectorized calculations · Reproducible model notebooks
Week 4
Time Value of Money, Bonds & Fixed-Income Analytics
Discounting and present value · Bond pricing · Yield, duration and convexity · Yield curves
Week 5
Portfolio Theory, Optimization & Asset Allocation
Risk and return · Mean-variance optimization · Factor models · Allocation constraints
Week 6
Derivatives: Options, Futures & Pricing Concepts
Forwards and futures · Option payoffs · Binomial pricing · Black-Scholes intuition and Greeks
Week 7
Financial Risk: Market, Credit, Liquidity & Operational Risk
Market risk and VaR · Credit risk · Liquidity risk · Operational risk
Week 8
Econometrics & Financial Time Series
Stationarity · Regression for finance · ARMA models · Volatility modelling
Week 9
Monte Carlo Simulation & Scenario Analysis
Simulation fundamentals · Simulating price paths · Scenario and stress testing · Convergence and error
Week 10
Systematic Strategies, Backtesting & Model Evaluation
Strategy hypotheses · Backtest design · Biases and overfitting · Performance evaluation
Week 11
Model Risk, Validation, Governance & Responsible Quantitative Practice
Model risk management · Validation techniques · Documentation and governance · Ethics in quantitative finance
Week 12
Financial Engineering Capstone & Investment/Risk Committee Presentation
Capstone scoping · Model build · Validation report · Committee presentation
Projects
Week 2 · Applied project
Bond and portfolio model
Price a fictional bond ladder and summarize its risk.
Week 4 · Applied project
Fixed-income analytics workbook
Compute duration and convexity under rate scenarios.
Week 6 · Mid-program project
Options scenario analysis
Analyze payoffs and Greeks for a hedging scenario.
Week 7 · Applied project
Risk dashboard
Report VaR and stress results for a fictional portfolio.
Week 10 · Applied project
Backtest with bias review
Backtest a simple rule and document overfitting risks.
Week 12 · Capstone · expert panel
Quantitative portfolio / risk model
Build, validate and defend a model before a risk committee panel.
Admissions readiness check
- Algebra and calculus basics
- Statistics
- Financial literacy
- Logical reasoning
- Model-risk judgement
Advisory only; staff make the final decision.
Trainer expectations
Quantitative finance, risk or modelling background with Python and statistics, and a strong responsible-modelling orientation.
Career directions
- Risk Analyst
- Quantitative Analyst Associate
- Portfolio Analytics Associate
- Model Validation Analyst
Not a job guarantee.
Learning and tools
Guided lessons, applied practice and a portfolio of work aligned to this pathway.
Expert review and certificate
The capstone is reviewed by an assigned expert panel. Panel assignments depend on verified reviewer availability; no staff credentials are implied by a seat description.
Published lesson completion and an approved capstone are required. See your learner portal for individual status.
Start dates, financial options and admission decisions are confirmed by staff. A certificate does not guarantee employment.