The Master project in industry is a 6-month research-oriented project done within the frame of an internship in company in the financial industry during the last semester of the MFE program. This provides students the opportunity to put into practice the academic knowledge acquired during their studies at EPFL, gain some professional experience and familiarize themselves with company processes.
Duration: The Master project in industry should last 6 months.
Session dates: Spring session (from the end of February) / Fall session (from the end of July).
Requirements: The Master project in ‘Financial Engineering’ takes place during the last semester of the Master program (usually after the three semesters of coursework).
It can start upon the successful completion of the Master’s cycle (or the conditional admission to the Master’s project).
Location: The Master Project in industry must be carried out in a non-academic organization (company, public organization), in Switzerland or abroad.
As an integral part of their studies MFE students must spend a period of 25 weeks as interns in the financial industry in Switzerland or abroad. During this time students learn to put in practice the skills acquired in their coursework, and write a Master Thesis under the joint supervision of an EPFL faculty member and a mentor from the host institutions.
The topic of the Master’s thesis may be proposed either by the company, by the student, or by the academic supervisor. The topic must be clearly defined by the student, the academic supervisor and the company supervisor. All 3 parties must agree on the project outlines (formalized in a document).
- The topic of the MFE master project has to be related to finance.
- The student is required to identify the research topic to be addressed and propose a methodology and plan deliverables. It must include a research or innovation component and refer to theory.
- It is supervised by a company supervisor and an academic supervisor.
The student must submit a written Master thesis at the end of the project and conduct an oral defense in front of a jury (both supervisors).
The successful oral defense of the thesis leads to the completion of the Master in Financial Engineering.
More details and information are available to current students on Moodle in the “FIN – 599(pm)” section.
- Students can apply through different channels (IS-Academia internship portal, job boards, Linkedin…). Information and resources are provided by their Internship coordinator.
- Employers can post offers on the EPFL internship portal
- Visit the EPFL Forum in October, the largest recruitment fair in Europe
The internship and associated master thesis focus on various aspects of finance and financial engineering including for example credit-risk, derivatives pricing and hedging, portfolio and asset management, private equity, commodities trading, financial market organization and regulation, and corporate finance.
- ML Disruption applied to the Venture Capital end-to-end pipeline
- Generative Adversarial Networks for portfolio risk management
- An alternative approach to returns on OTC oil derivatives.
- Autoencoders and their applications
- Factor rotation investing based on market regimes
- Forecasting CPI inflation and GDP in the Euro area
- Exploring Portfolio Optimization Techniques: Insights from Finaport
- US Power Price Forecast
- Risk Management Techniques for Commodity Trading
- Cyber risk and the cross-section of stock returns
- Refinery throughput prediction based on machine learning
- Sentiment analysis on analysts’ reports
- Portfolio Optimization with QIS Strategies
- FX Signal Generator: Machine Learning applied to FX News, Google Trends and OECD data
- Assessment of ESG practices using Natural Language Processing and Machine Learning
- On the benefit of using Range-Based Volatility measures for Portfolio construction
- Trend-Following’s impact on the 60/40 portfolio
- MFE Internship in Private Banking
- Digital transformation of Private Equity
- Private Equity Funds Cash Flows Forecasting with the Machine Learning Models
- Kernel-Based Currency Hedging
- 3 Essays on Value at Risk
- The use of NGFS climate scenarios to assess mortgage portfolio impact
- A Dynamic Model to Price Credit Spreads in Direct Lending
- Valuation of Storing Crude Oil
- Liquidity Management – Margin Call Settlement
- Benchmarking Credit Risk Models with ML
- Swiss Market Rent Estimation: A Statistical Machine Learning Approach
- Cash Transparency Using Graph Database Technology
- Equity Portfolio Return and Risk Projections Under Different Carbon Price Scenarios
- NLP Techniques for the Improvement of Financial Estimation
- Statistical demand forecasting in a growing market
- Alpha Generation using Options Implied Trading Signals
- Valuation and optimal holding time models for real estate investments
- Can option characteristics serve as indicators of cross-sectional disparities in stock performance?
- Quantifying Credit Risk in Power Purchase Agreements: The Geske Compound Option Approach
- Valuation and Optimization in Transitioning Electricity Markets
- The new risk and return of venture capital: Empirical study on Crunchbase data
- Risk Management at TotalEnergies
- Transparency of Disclosure in EFG Bank
- Estimating and forecasting the tails of non-normal distributions
- Investment factor timing on the MSCI Factors
- Internal control systems failures: analysis and suggestions
- Refined View on Balance Sheet Stress Testing
- A pricing model for negative commodities futures
- Spread Option Pricing and the LNG Market
- Boosting Credit Rating Models
- Is Cultivated Meat a Good Bet?
- Trading Strategies in the European Emission Allowance (EUA) Options Market
- Optimal Portfolio Allocation within Different Market Regimes
- Bayesian Networks and their use in Financial Markets
- A Machine Learning Approach to Backfill Data for VaR calculation
- About the impact of ESG integration on Factor strategies and optimal mean-variance portfolios
- Hedging climate change news: e-scores, cable news channels and fama-french factors
- Analysing ESG Portfolio Return
- Constructing a Transaction-based Index for Private Equity
- A Filtered Historical Simulation Approach to the Implied Volatility Return of Cryptocurrency ETFs
- Agri-commodity Prices Prediction: An Application to Phosphates Fertilizers
- Explainable Machine Learning for Asset Allocation
- The effects of social norms on Markets: Does owning Sin stocks offer a premium or discount for its investors?
- Bayesian Inference for FX forwards
- Agri-commodity Prices Prediction: An Application to Phosphates Fertilizers
- Explainable Machine Learning for Asset Allocation
- The effects of social norms on Markets: Does owning Sin stocks offer a premium or discount for its investors?
- Bayesian Inference for FX forwards
- Valuation and Optimization in Transitioning Electricity Markets
- Researcher in applications of financial methods for emergent technology pricing and portfolio management
- Internship – Middle Office Derivatives
- Financial Products analyst
- Estimating and forecasting the tails of non-normal distributions
- Quantitative analyst
- Internal control systems failures: analysis and suggestions
- Firmwide stress methodology internship
- Alternative pricing approach to incorporate the possibility of negative futures prices in commodities derivatives
- Pricing and Risk Management in LNG and Freight Markets
- Boosting Credit Rating Models
- Challenges in European VCs catching up with the US VCs
- Analyzing Trading Strategies within the Carbon Market
- Optimal Portfolio Allocation within Different Market Regimes
- Glencore – Quantitative Analyst
- Pricing of Derivatives
- Graduate Portfolio Engineering and Risk
- Quantitative climate risk management for financial institutions
- Maximising ESG protfolio return
- Quantitative Research Intern
- Quantitative Analytics Associate Program – Off-Cycle Internship
- Credit investable indices
- Quantitative Analyst
- Different Implementation of Equity Risk Premia
- An analysis of risk factors in Swiss institutional portfolios.
- Using Big Data in Thematic Investing
- New allocation methodologies with deep reinforcement learning techniques
- Covid-19 and Government Debt: An Analysis
- Introduction to Economic Scenario Generators
- Multivariate backtests and copulas
- Quantitative Analyst Internship
- Data Science Expert
- A Machine Learning Approach for Loss Reserving on a Macro-Level Basis
- Risk Contribution Estimation in Credit Portfolios
- Dynamic Asset Allocation
- Risk Metrics for Commodity Investments
- Fair Value Modelling for Emerging Market Exchange-Traded Funds
- Quantitative Risk Analysis in FX market
- Building next generation electronic trading strategies using an agent-based approach
- A Dynamic Factor Model Framework for Commodity Markets
- Integrating ESG data into the systematic investment process
- Modelling portfolios of cyber-related emerging technologies: a complex-system approach
- Deep Reinforcement Learning in Volatility Trading
- Evaluation and adjustment of an overlay model for a global equity portfolio.
- Transparency disclosure for the evolution of Net Other Income
- Industry Analysis Assistant
- How Shadow Banking replaces the Role of Banks and affects Macro-economy in China?
- Quantitative Asset Management: exploring new ways of hedging and managing inventory risk
- Analyst M&A
- Residualized Multi-Factor Portfolio
- Forecast, Cash Flow Valuation, and Financial Statement Analysis
- A DSGE Model for Mortgage Lending During the COVID-19 Pandemic
- Gasoil Asian S&D
- Junior Portfolio & Markets Analyst
- Pricing Liquidity through replication of an Enforced Stop-Loss structured product
- Quantitative Portfolio Construction
- Venture Capital Financing and Valuation of Biotech Startups: a Case Study on MedXCell’s Valuation
- Leverage data to have a deeper understanding of client investment preferences
- Valuation of American Airlines during COVID-19 pandemic
- Research Analyst
- Initial margin calculation for non-cleared OTC Derivatives
- Volatility Forecasting and Investment Strategies: Dynamic Volatility Modeling and Machine Learning Techniques to Build Investment Strategies on Equity Market
- Forecasting Swiss Government interest expenses using MIDAS
- Trading the convexity of the oïl futures curve
- Quantitative Evaluation of Private Companies
- A Machine Learning Trading Approach on Energy Futures Market
- Mutli-Period Portfolio Optimization
- Quant developer intern
- A spread model for oil indexes and geographical arbitrage options
- Quantitative Asset Management
- Reinsurance Portfolios and Comparison of Counterparty Matching Tools
- Pricing of Volatility Products with Local and Stochastic Volatility Models
- Venture Capital & Private Equity: analysis and valuation of Fintech Unicorns
- Data Science Expert
- Digitalization of an Institutional Multi-Asset Investment Process of a Global Asset Manager
- The Failure of DaimlerChrysler
- Replication of Private Equity with Public Securities
- A Multi-Asset View on the Benefits of Implied Volatility Indices
- An Explainable Machine Learning Framework for Cross-Sectional Forecast-Based Fund Selection
- Reinforcement learning methods in option pricing.
- Modelling equity fund flows
- Stochastic Volatility and Jump Diffusion Modeling for Investment Funds
- Leveraging consumer data to identify up-sell and cross-sell opportunities
- Quantitative Researcher
1. A Network Approach for Risk and Porfolio Management
2. Gas index prediction and asset optimization: the case of Russian gas supplies to Europe
3. An Econometric Risk Factor Model for Hedge Funds Analysis
4. Active Management and Outperformance
5. The benefits of a matchmaking algorithm between investors and developers in the Renewable Energy Industry
6. Measuring liquidity risk: the case of an investment portfolio
7. Pricing model of Energy Derivatives
8. Nowcasting in Financial Market
9. Institutional Private Equity Portfolios : a Bottom-Up Approcah to Fund Valuation and Cash Flow forecasting
10. Macroeconomic Factor Analysis of Stock Returns in the Euro Area
11. Creation of Liquidity measure for an equity portfolio and liquidity analysis of a Swiss and a European portfolio
12. Dynamic risk allocation within a portfolio of algorithmic trading strategies
13. Allocating funding costs for OTC cash collateral margining
14. Impact de la réglementation FRTB sur le calcul des Risk Weighted Assets en méthode Standard, appliqué sur les activités Actions.
15. Earning Seasons as the Beating Heart of the Financial Markets
16. Research Intern
17. Assessing the Viability of Machine Learning for Systematic Trading
18. Least Squares Monte Carlo applied to commodity derivatives
19. The Development of Investment Process based on Financial Indicators
20.Bank’s liquidity: modeling repro (hair)cuts
21. On Industrial Metal Price Forecasting
22. Digital Investment Managers – Challenges and Opportunities
23. Pricing of Bermudan swaptions in LIBOR market model
24. Factors affecting vegetables oil prices
25. FX Advisory – analysis of a revenue model
26. Study on the Performance Impact on Smart Beat Investement Strategies caused by Rebalancing
27. Exchange Rate Predictions with Support Vector Machine and Neural Network
28. Dynamic funds’ risk factor exposures
1. Understanding the performance of an algorithmic trading strategy
2. Fed funds futures and monetary policy analysis
3. Factors Study and Trading Strategies
4. Model independent Measurements and Phantoms Liquidity in Cross-Asset High-Frequency Trading
5. Position Transparency and Fund Overlapping Effects in Alternative Risk Premia Investing
6. Modeling of volatility strategies: how to trade volatility?
7. Treasury Bond Futures and Contract Specifications
8. Stochastic Implied Volatility Modelling
9. Quantitative Risk Analyst – Model Risk Management
10. Reference Portfolios
11. Affine Framework for Monte Carlo VaR
12. Peer-based performance evaluation of private equity funds
13. Monte Carlo Methods and Improvements for American Option Pricing
14. The predictive power of fund flows
15. Predictive Performance of Political risk and Exchange Traded Fund Liquidity Risk.
16.Algorithmic Trading in Commodity Markets
17. Modelling and forecast of agricultural commodities prices and volatility
18. Research on the Chinese Companies Traded Overseas
19. Stastical Business Cycle Analysis and Asset Allocation
20. Market Bubbles as Stock Price Departures from Fundamental Macroeconomics Valuations
21. Backtesting and simulation extensions of Value-at-Risk (VaR) models in global energy commodities
22. Adapted Black-Litterman Implementation for Long-Only Thematic Equity Funds.
23. SGP off-cycle intenship
24. UK Wealth Management – Analysis of the Industry
25. Modelling Commodities: an Effective Framework for Options Pricing
26. Modelling Directional Way Risk in the commodities markets
27. The Effect of Social Performance on Financial Performance in Microfinance.
28. Cross-Asset Predictive Power of Real-Time Macroeconomic Indices
29. A Risk Premia Approach to Portfolio Optimization
30. Quantitative Research in Investments Strategies: Macro Analysis Process (MAP)
- Premium model and arbitrage strategy of Chinese A/H shares
- Bayesian networks model and application in finance with partially observed data
- Stochastic modelling of electricity markets
- Market tail risk in asset returns
- Added value of DCF in a sustainable listed equity investing strategy
- U.S. gulf soybean basis
- Hedge fund conviction: evidence from 13F-filings
- CVA modeling in oil markets
- Machine learning for portfolio optimization in the Chinese A-shares market
- Analysis of the WTI and brent markets
- Robust estimation and decomposition of tail risk
- Understanding the risk neutral distribution
- Operational research on robo-advisors and semi-passive investments
- Arbitrage-free parameterization of the implied volatility surface
- Research on enterprise evaluation
- A network analysis of stock communities and market states
- Liquidity drops on financial markets
- Bank’s exposure to the lbo loan market during the financial crisis
- European rates trading
- Multi-period wealth management: an industrial framework
- Derivatives trading strategies on the grain markets
- Minimum volatility: Long-term evidence, risk exposures, potential pitfalls and improvements.
- Intraday volatility patterns in FX rates
- Quantitative strategy allocation and portfolio construction of a fund of hedge funds
- Modeling foreign exchange risk exposure
- Credit linked notes on cds index tranches
- Stochastic modelling of private equity investment programs
- Bayesian model averaging for risk factor selection
- PCA mean reversion trading strategy on the futures curve
- Pricing of inflation-indexed derivatives
- Performance evaluation and risk shifting of Chinese mutual funds
- Economic value and market capitalization of insurance companies: a panel data analysis
- The research on the pe-backed going private of us-listed Chinese enterprises
- Modeling of a cross-asset investment strategy
- A dynamic portfolio allocation and behavioral analysis indicators
- Independent product valuation
- US agricultural commodities freight rates modeling
- Company valuation
- Private equity replicator
- Asset management
- Momentum investing in equities using machine learning methods
- Bayesian and ensemble methods for pattern recognition in financial databases
- Extending the risk management functionalities of convertible bonds business solution
- Investigation of Heston stochastic local volatility model
- How can statistical learning leverage data in the insurance industry?
- Structuring
- Betting against beta
- Volatility of fixed income markets
- Equity derivatives structuring
- The valuation of high-tech companies via DCF and comparable
- A quantitative analysis of hedge fund returns
- Credit and Funding value adjustments
- Effect of constraints in construction of optimal equity portfolios
- Quantitative analysis in asset management
- Derivatives pricing and creation of financial time series
- Risk allocation in a multi-asset framework
- Advanced market systematic risk indicators
- Market microstructure
- Automated algorithmic quantitative performance analysis
- The role of correspondent banks in capital markets
- Fat-tailed stochastic interest rate models
- Economic valuation of insurance companies
- Arbitrage vs. balance sheet CLOs: an empirical comparison
- Stress testing
- Returns-based style analysis of mutual funds
- Research on affine term structure model
- Investment solutions analysis
- Alternative investment’s factors
- Market consistent economic scenario generator
The MFE has established a strong reputation in the financial industry and has an excellent track record in developing internship placements and career opportunities for graduates.
The institutions hosting MFE internships include banks and insurance companies, asset management firms and hedge funds, commodities trading firms and various other institutions that are not necessarily part of the financial industry but who face problems that our graduates can help solve using their financial engineering skills.
A complete list of the institutions having hosted MFE internships can be accessed below. We thank each of them for their support, and for providing our students with opportunities to put their skills to practice.
- AXA Winterthur: Winterthur, Switzerland, New York, USA and Paris, France
- Banca Comerciala Romana, Bucharest, Romania
- Banque Internationale Arabe de Tunisie, Tunis, Tunisie
- Banque Martin Maurel Sella, Monaco
- Banque privée Edmond de Rothschild, Geneva, Switzerland
- Banque Rothschild, Geneva, Switzerland
- Banque Syz Geneva, Switzerland
- BCV, Lausanne, Switzerland
- Benjamin de Rothschild SA, Geneva, Switzerland
- BNP Paribas, Geneva, Switzerland and Paris, France
- BTG Pactual, Geneva, Switzerland
- Credit Suisse: London, UK; Lausanne and Zurich, Switzerland
- Deutsche Bank: Frankfurt, Germany and Geneva, Switzerland
- Goldman Sachs, London, UK
- Helvea, Geneva, Switzerland
- HSBC, Paris, France
- JPMorgan: London, UK and Geneva, Switzerland
- Julius Baer, Zurich, Switzerland
- La Mobilière, Nyon, Switzerland
- Lazard Frères, Paris, France
- Lombard Odier, Geneva, Switzerland and London, UK
- Pictet Alternative Advisors, Geneva, Switzerland
- Société Générale, Paris, France
- Swiss Life, Zurich, Switzerland
- Swiss Life Asset Managers, Zurich, Switzerland
- Swissquote Bank, Gland, Switzerland
- SwissRe, Zurich, Switzerland
- UBS, Zurich, Switzerland and London, UK
- Union Bancaire Privé, Geneva, Switzerland
- ZKB, Zurich, Switzerland
- 4Elements, Singapore, Singapore
- Aeris Capital AG, Pfäffikon, Switzerland
- AXA Investment Managers, Paris, France
- BlueCrest Capital Management, Geneva, Switzerland
- Brevan Howard, London, UK
- Cobe Investment Management, Shanghai, China
- Chorus Capital, London, UK
- Century Securities, Beijing, China
- Dominice & Co, Geneva, Switzerland
- DTC Investment Management, Beijing, China
- Egerton Capital, London, UK
- Exane Derivatives, Geneva, Switzerland and Paris, France
- Fisch Asset Management, Zurich, Switzerland
- Global View Investments, Geneva, Switzerland
- Harris Lane Investments, Geneva, Switzerland
- Jabre Capital, Geneva, Switzerland
- Kepler Cheuvreux, Geneva, Switzerland
- LGT Capital Management, Pfäffikon, Switzerland
- Lyxor Asset management, Paris, France
- Nafora, Lausanne, Switzerland
- Novus, Zurich, Switzerland
- Olsen, Zurich, Swizerland
- Orient Security Company, Hong Kong, China
- Patrimonium, Lausanne, Switzerland
- Prestinvest, Geneva, Switzerland
- Ping An Asset Management, China
- Quantifusion Asset Management, Shanghai, China
- Rothschild HDF Investment Solutions, Paris, France
- Swiss Capital Alternative Investments, Zurich, Switzerland
- Transmarket Group, Martigny, Switzerland
- Tudor Capital Europe, London, UK
- Unigestion, Geneva, Switzerland
- AXPO, Baden, Switzerland
- Hellenic Petroleum SA Athens, Greece
- Mercuria Energy Trading, Geneva, Switzerland
- Roquette Frères, Vernier, Switzerland
- TOTSA, Geneva, Switzerland
- Trafigura, Geneva, Switzerland
- Basel Economics, Basel, Switzerland
- BIT (International Labour Office), Geneva, Switzerland
- DataYes, Shanghai, China
- Derivative Partners Research, Zurich, Switzerland
- eBay International, Bern, Switzerland
- Ernst & Young, Geneva, Switzerland
- FIDA, Finanza Dati Analisi, Torino, Italy
- FinLab, Geneva, Switzerland
- Hesabi, Iran
- Mazars, Paris, France
- Murex, Paris, France
- Nathal, Actuaries and consultants, Mexico City, Mexico
- NLMK, Moscow, Russia
- Ontonix, Como, Italy
- Philip Morris SA Lausanne, Switzerland
- Procter & Gamble Geneva, Switzerland
- SAGE SA, Lausanne, Switzerland
- Sanli, Pastore & Hill, Los Angeles, USA
- Symbiotics SA, Geneva, Switzerland
- SwissQuant Group AG, Zurich, Switzerland
- Umnyah Advisors, Geneva, Switzerland
- United Nations, Geneva, Switzerland
During the internship, I always have the chance to discuss the thesis with my professor and company mentor, which is very unique among all the MFE programs around the world.
I am very impressed with the superb preparation the MFE program does, not only on the hard subject-matter skills, but also on the soft skills that matter a lot in a corporate context.
CONTACT
Internship Coordinator | Ms Marjorie Ebbayilé
[email protected] | Extranef Building