Job details - Cluj Napoca
Job description - Cluj Napoca
Fortech is looking to add a Financial Analyst to its team in Cluj-Napoca. You will be part of an entrepreneurial team executing a plan to rapidly grow the risk counseling and fintech business (called AIPERION).
In this role, you will work at the modeling of investment portfolios. Also, you will offer support for modeling consultancy and investment risk optimization for pension funds, foundations, universities as well as other institutional investors.
You will be involved in R&D projects including AI. This role requires an important mathematical component, which needs to be combined with solid knowledge of capital markets, investment management and, particularly important, financial instruments including derivatives.
You will work in Romania, in a distributed AIPERION-Fortech team. The team is based in Cluj-Napoca and Chicago. While based in Cluj-Napoca, you will have constant interaction with the Chicago executives and expect to have frequent, mostly online, interaction with clients from the US.
You will work directly with the Chicago-based CEO on models and consultancy. You will assist as a finance specialist the combined Aiperion-Fortech software development and research team in Cluj-Napoca.
Your Responsibilities Risk modelling of investments using AIPERION risk framework and its own software platform (RiskKey)Support in consultancy projects involving modelling and / or optimization of investment risks for various global institutional clients : retirement funds, foundations, universities, etc.
Support the R&D team in its scientific research projectsDepending on expertise level and interest, contribute to the development of new scientific solutionsIn time, expect to receive the responsibility for consultancy projectsInteract with clients in various stages like onboarding, data gathering, deliverySupport the CEO and the scientific team with various analysesSupport the software development team and the product owners in specifications and testing
macroeconomicsBachelor’s degree, Master’s degree or PhD in financial engineering or similar, with advanced mathematics or statistics coursesExperience in capital markets or research in financial instruments is a plusCandidates who are enrolled in master or PhD courses in finance / financial instruments are also accepted.
In exceptional cases, candidates who are in the last year of Bachelor’s study are also acceptedNo apriori knowledge of artificial intelligence or software development is need.
However, good knowledge of Excel and statistical packages is needed