Real-life financial simulations
for junior investment bankers
About
Finsimco is pioneering in investment banking simulations. Our simulations are the most challenging and realistic available for training corporate finance professionals.
We provide experiential learning in an exciting, virtual business environment. The combination of immediate feedback and the competitive group dynamics are unbeatable for consolidating learning and acquiring skills.
Our modular-based investment banking simulation is
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tailored to the target audience - intern, analyst and associate levels,
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available as a one-day or three-day product,
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flexible to allow the inclusion of further corporate finance fields besides the core M&A and Capital Markets modules.
Why you should learn with us?
PRACTICAL
The simulations are the results of R&D in which various corporate finance, leveraged finance and risk professionals contributed. From finance foundations to complex corporate valuations, the realistic practical application is in every stage.
PARTICIPANTS ARE LOVING IT
Teams run their simulated investment bank and watch their own P&L rise and fall. They compete against each other in their own market, not against a computer. The gamification of learning technical corporate finance skills leads to very high participant satisfaction.
ENGAGING
The simulations involve competition between teams and risk-taking elements to excite people. The energy throughout the process is intense given the competitive elements while analysing, discussing, pitching and negotiating financial instruments and companies.
ONGOING SUPPORT
We support clients beyond a particular training event. Our products are tailored towards clients’ needs and follow up consultations as well as testing options are available.
INNOVATIVE
We offer a highly innovative training concept immersing participants in various investment banking tasks and leveraging stochastic modelling techniques to gamify the learning at the right pace.
VALUE FOR MONEY
Our products are cost-effective because participants learn practical skills in a short time-frame, and they can directly apply what they have learned. Participants returning to their desk have a better understanding of their tasks and have gained a big picture understanding of different departments.
How it works
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Teams compete against other teams in their own market, not against a computer. The decisions of each team influences the other teams’ results and the market development overall.
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Each team runs 4 departments:
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M&A advisory
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Debt capital markets
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Equity capital markets
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Financial Sponsors Group
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Each simulation consists of 5 to 20 teams, with 2 to 4 members in each team.
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Each team is running its own Investment Bank with its own P&L.
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The simulation is run over 3 to 6 rounds.New industry and company specific data is released in each round.
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After the introduction, the teams familiarise themselves with the decision making process, which in each round is influenced by the results of earlier rounds.
Testimonials
Meet the team
Gerhard Wörtche
Co-Founder
Gerhard has various front-office analytical experience including sell-side and buy-side roles at Morgan Stanley, Deutsche Bank, S&P and HPS Investment Partners. He holds a PhD in Quantitative Finance.
Eimear Walsh
Eimear is an experienced Python developer and held roles as a senior Technology consultant at Nakama Global. She holds an MSc in Computer Science.
Andrey Simonov
Andrey worked at various investment banking business units at top tier firms, including UBS, Morgan Stanley and Deutsche Bank. He studied Mathematics at Saratov University.
Sanjay Joshi
Co-Founder
Besides roles as senior strategy consultant and senior analyst at S&P, Sanjay has various entrepreneurial experience. He studied Mathematics at Cambridge and qualified as an actuary in four years.
Pia Negro
Pia held roles in business model develop-ment, digitization and innovation at KPMG, BMW and Allianz. Pia holds a BSc in Engineering and an MSc in Management and Technology.
Simon Chiu
Simon is a programmer and data technologist with extensive experience in the education and gamification space. He studied Physics in Cambridge and holds a MSc in Machine Learning.
Eji Okon
