Adaptive Early Career / Graduate Programme 2020/2021

We are happy to announce the launch of the third run of our graduate programme. This programme started in 2018 aiming to offer an opportunity for graduates wanting to build careers in web development. Our trial started at our offices in London, Barcelona and New York and only a year later, and due to its success, we expanded it to our Montreal office. From January 2020, we are accepting applications for all our offices, looking to recruit top junior web developers, keen to learn about technology and finance and work on interesting and meaningful projects.

About the grad scheme

This programme has been developed and is managed by experts with solid experience in our industry. It’s a structured training programme focused on technology and finance that will be tailored to each graduate’s profile. It is the ideal launchpad for our future experts and leaders. Each graduate will be mentored and tutored by senior members of the company while working on our in-house projects.

Successful graduates will work as part of an international team. They will use the latest technology to design, build and operate bespoke, real-time, front-to-back solutions for tier-one investment banks and commodity trading firms. Working side-by-side with smart colleagues in a collaborative, non-hierarchical and agile environment. They will have the opportunity to gain exposure on numerous projects, travel to other offices and grow their professional career at Adaptive.

The application process

It’s very simple; we don’t put our candidates through tons of interviews. The job offers are published on our page, as well as in university job portals. The application process is as follows:

Application review. Some of the senior developers that will be working close to our graduates will review the application.

Preliminary phone screen. If the candidate’s profile is aligned with what we're looking for, a non-technical phone call will be arranged.

Face to face. If both parties are happy to proceed, we'll invite the candidate to our offices to meet with us for the face to face interview being also able to meet some of our technical staff and our Head of HR & Recruiting.

Director meeting. After passing the face to face interview, the candidate will be invited to come back to meet with our directors.

What do our Grads think?

Daniel Abbasi
Software Engineering, Cardiff University
2019 Graduate Programme, London

I chose Adaptive as it promotes a collaborative environment with no judgement and I get the chance to work on several interesting highly technical projects. I did not want to work for a big corporation who didn’t care about the people at the bottom and was a backstabbing fight to the top.

At Adaptive, it is quite the opposite as it promotes personal growth in a flat hierarchical environment.

Yu Qi Liu
Computer Science, McGill University.
2019 Graduate Programme, Montreal.

School doesn’t fully prepare you for work, so it is scary to dive in headfirst, despite having previous internship experience. A graduate program is an excellent gradient for one to ease into the workforce. The challenges that you are presented with as a graduate are just the right level of difficulty: enough to keep you intellectually stimulated, but not so hard that it seems impossible. After 3 months in the graduate program, I am ramping up to client projects and I cannot wait for the new challenges that I will face.

Santiago Gomez
Computer Science, CUNY Queens College.
2019 Graduate Programme, New York.

Thinking back, I don’t believe I could have made a better choice than joining the Adaptive graduate program as I believe I’ve learned more in these short months than I would have had if I had chosen to go anywhere else.

Egill Hreinsson
Business, University of Reykjavik.
2019 Graduate Programme, Barcelona.

Since joining, my experience so far has exceeded my expectations on all levels. The program is very ambitious and well supported within the company, where the focus is to help us become rounded consultants with a wide knowledge domain.

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