WOA Media Promotional PDF File
2021
Contact >
For all enquires or to become a client,
pls message, call or email us, anytime...
Careers ? please see below
Donald J. Beaudry Jr.
Developer WOA
Linkedin link
Email:
Skype: donaldbeaudry1
Ni Kadek Yuni
Account Manager WOA
Linkedin link
Email:
Skype: nikadekyuni1
WOA London
WOA Technology LTD
Registered Companies House UK
Company Number 12494053
Nature of Business: 6300 -
Fund management activities
Company type:
Private limited company
Lisa Sill | Client Relations
WOA (by appointment only)
WeWork, 33 Queen Street Place
EC4R 1AP
London, England
Email:
Phone: +44 20 3290 5130
WOA Technology LTD
UK Government Companies House UK link
Media WOA links
2018 Tech Crunch Disrupt WOA Video - 18 of 100 Startups -WOA link
TechCrunch Silicon Valley: WOA link
TechSpective link (AI Trading: 10 Companies Changing the Stock Market)
The Daily Chronicle News link
Artificial intelligence (AI) in Stock Trading Market 2020-2028 revolution in trading system WOA. WOA is considered one of the
top 15 most important Ai start ups in the financial industry.
Encyclopedia Ai Companies WOA link
Instant Message
Donald Beaudry
(to set up a virtual meeting or for more information on WOA)
2021
limitless potentials
Work with us? Careers >
Career Information >
For information regarding working with the most innovative start up in the Milky Way in the field of Ai, ML & Quantum Technologies for the financial markets > contact us
WOA (R&D)
Trump Tower, Kustepe, Mecidiyeköy Yolu Cd. Caddesi No:12,Kule 5, Şişli, Istanbul, Turkey, Zip|Code 334381
Tel: (90) 212 212 348 78 67 (E)
Work With Us
The greatest opportunities for the industries sharpest talent. We are accepting resumes for interns, full & part time team members in any geographic location to work remotely, all ages, formal education or not. We are looking for the most creative tech savvy people to join us in the field of quantum engineering, Ai ML applications - <><<< capability, strategies >>>
and auxiliary applications in the world of trading via building out fully automated linear algorithms in the trading industry.
We want talent, <
creative programmers, sophisticated technicians able to work remotely to work with our team on our core technologies in WOA - with the focus on continuous
optimization and pushing the boundaries in new thinking and innovation.
2020 WOA Careers | Join Us
remote working positions
Customize your career path with us. be -
>motivated by meaning >committed to contribution >devoted to development >work with like minded people >receptive, unbiased, valuing out of the box thinking
If you're interested in working with one of the most creative and innovative (remote working, peer to peer consortium block-chain model) groups on the planet, we would love to hear from you > [if you have the relevant skills]
What we are looking for are unique skills in >
Advanced Computer Programming in (Python, R, C++, Java) & Market Intelligence Ai applications /
such as >
>strategic game theory >military simulations >statistical randomness >probability analysis >quantum computer programming >quantum computing engineering >quantum computing research analysis<
work with us to build
the impossible
We do not hire traders and we do not care about your educational background, race, gender, location, origin or age, only what you can create.
We work with students at various grade levels from high school and university onwards // >
on projects and offer the highest rewarding creative financial compensation anywhere.
Email us your CV / Resume / Skill-Sets
Would like to hear from you. We receive a lot of
applications and mail each week.
Pls have a cup of green tea, relax, we will contact you.
WOA Technology LTD
Advanced Quantum Ai Machine Learning Technology
For The Global Financial Markets
2020 Copyright. All rights reserved globally.
UK Incorporated
Companies House # 12494053
Nature of Business (SIC): - Fund Management
Registered Office Address:
WeWork, 33 Queen Street Place, London, UK EC4R 1AP
WOA Technology LTD
License UK Government Companies House link
Bank of England Machine Learning in UK Financial Services link >