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BackSHARE 22/03/2019 in collaboration with Investment Portfolio Optimization with AI, ML and Big Data
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Investment Portfolio Optimization with AI, ML and Big Data
Application Deadline: 31/12/2019 00:00 - Europe/Brussels
Where to send your application.
- E-MAIL email@example.com Contact to
- ORGANISATION/COMPANY InbestMe
- ORGANISATION TYPE Small Medium Enterprise, Start-up
- WEBSITE https://www.inbestme.com/ https://twitter.com/InbestmeCom https://www.linkedin.com/company/inbestme/
- COUNTRY Spain Save to favorites
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- ORGANISATION/COMPANY InbestMe
- RESEARCH FIELD Computer science › Other
- RESEARCHER PROFILE First Stage Researcher (R1)
- APPLICATION DEADLINE 31/12/2019 00:00 - Europe/Brussels
- LOCATION Spain › Barcelona
- TYPE OF CONTRACT To be defined
- JOB STATUS Negotiable Research internship - Reference: HiPEAC ML AI Investment Portfolio Optimization
InbestMe is a FinTech company in Barcelona which provides automated wealth and savings management services for customers. These services are based on building and managing personalized portfolios composed of stock market products such as shares, Exchange Trade Funds (ETFs) and others.
InbestMe provides services for automated and personalized management of investment portfolios. Optimization of investment portfolio consists of building and maintaining a portfolio of market products such as shares. It is a very complex (NP-Complete) problem with many different aspects to be taken into account such as potential return, potential risk, when to buy/sell, what to buy/sell, how much to buy/sell, for how long to keep in portfolio etc.
The objective of this project is to research and develop investment models and portfolio optimization algorithms using machine learning (ML) and artificial intelligence (AI). The ML and AI algorithms will use as baseline statistical approaches and improve over them. This will include algorithms for technical analysis, asset classification, risk assessment, return expectations, trades, etc.
The candidate is expected to have the following skills and experience:
- NumPy, Pandas, SciPy
- Keras, Theano, or Tensorflow Term
The internship is expected to last from 3 to 12 months.
InbestMe will encourage and support the intern to publish the results of the work in conferences and journals.
How to apply?
Please, send your CV (or link to your LinkedIn) with a motivation letter (max 1/2 page) to firstname.lastname@example.org . Please include the reference HiPEAC ML AI Investment Portfolio Optimization to this position in the title of the email.
Web site for additional job details
222322+-Leaflet | Map data © Google Job Work Location Personal Assistance locationsGet More Personal Assistance Work location(s) 1 position(s) available at InbestMe Spain Barcelona EURAXESS offer ID: 424621
Posting organisation offer ID: 10784
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