Careers

Who we are

Our founder has been in the quant industry since 2001 and graduated with a PhD in Physics from Massachusetts Institute of Technology (MIT). Our team members have significant academic accomplishments including PhDs or Masters from top Canadian, US and international academic institutions as well as international or national science and math competitions.

Our approach
  1. We are driven by intellectual challenges, curiosity and returns.
  2. We are continuously seeking new and better approaches to measure, analyze and interpret data to improve investment results.
  3. We employ machine learning, unique datasets and proprietary algorithms to increase the scientific validity of our insights and impact returns.
Who we are looking for

Smart, focused, driven professionals to complement our group and expand our reach.

Our recruitment process

We are a data-driven company with a collegial atmosphere looking for people who can do great work individually and seek support and mentorship from others when they need it.

Our interview process is designed to play to the strengths of our ideal candidate: we will ask you technical questions that require complex thought and ask you to talk us through your process as you work them out.

We are driven to seek deep understanding in all our endeavors as a company and want to find candidates who do the same.

We want you to be prepared and confident in each stage of the interview process so you are able to show us your best work, so we have explained it in detail here for you. Our interview process consists of six steps.

After we review your application you will be asked to complete a brief technical assessment. This short online test is designed to assess your knowledge of relevant subjects such as probability, data analysis, and algorithms.

The assessment is multiple choice, and you will want to have paper and pencil or anything else you might need to work out your answers. There are 10 questions of varying difficulty and you will be given 25 minutes to complete the test.

Once you've passed the online assessment, you will be invited to schedule an interview with one of our team members. The majority of these interviews will be conducted over Skype (or by phone if there are issues with the internet connection) and will last between 1 hour and 1 hour 15 minutes.

  • Interview Format: This is a technical interview rather than a personal one. Your interviewer will first ask you a few basic questions regarding your academic and professional experience and projects based on your resume. After that, you will be asked a series of 4 questions designed to further test your knowledge and abilities in probability, logic, algorithms, and other relevant subjects.
  • Preparation: These problems are similar in form to the questions from the online assessment, but they are significantly more difficult. You should not come to the interview without first taking some time to review the subjects at hand. We want to be sure you have adequate time, so we ask that you give yourself at least 4 days to prepare for your interview.
  • Show Your Work: As you work through the questions, we would like you to "show your work" by talking through your thought process step by step with your interviewer. As you talk through your thought process, we will be able to give you feedback on whether you're headed in the right direction.
  • Materials: You will want to have paper and pencil or other materials to work out your answers. Please note that the use of search engines or calculators is not permitted.

Finally, please remember that our interviewer wants you to succeed and that talking with them and explaining your understanding of the problem as you go will give you the best possible chance of success.

Once you've passed the first interview, you will be asked to schedule a second interview with us. The second interview follows the same format as the first, but you will have a different interviewer and a new set of questions. All the information given for the first interview applies to the second, and please be sure to share your thought process with your interviewer as you go.

Next, you will be asked to interview with 2-3 other members of the company. This interview is a typical personnel interview and you will not be asked to solve the type of technical problems you worked on in the first two rounds. This is a chance for members of the company to get to know you a little and to ask you about your professional and academic experiences and qualifications along with some general knowledge concepts. This is also an opportunity for you to ask us any questions you might have about the company.

The final stage of interviews is conducted by our founder. This interview uses the same format as the first two technical interviews. This is a chance for you and the founder to get to know one another and get a sense of whether we are a good fit for you.

If you've made it this far, congratulations! You have impressed us through a strenuous interview process and we consider you among the best of the best. We look forward to welcoming you to NumerixS.

Open Positions

There are no current open positions.

We are not currently recruiting. However, if you think you're the perfect candidate and really want to blow us away with that math PhD in one of the roles below, please reach out on the contact page.

Quantitative Analyst

We are looking for exceptional individuals who can develop and implement complex statistical quantitative mathematical models.

Location:

Vancouver, British Columbia, Canada

Apply Online
Responsibilities:
  • Planning, designing and completing the improvement and operation of computer-based trading systems as we expand into new regions and strategies
  • Owning end-to-end workflows and developing deep domain expertise
  • Evaluating and modeling large volumes of trading information to design, develop and test computer-based trading algorithms
  • Solving, identifying and communicating technical problems, processes and solutions
Requirements:
  • Masters or PhD in mathematics, physics, engineering or in a highly quantitative field
  • Demonstrated expertise in statistics and mathematical modeling
  • Strong programming and prototyping skills (Python and familiarity with Linux and kdb+ is a bonus)
  • Good clear communication skills (both verbal and written)
  • Ability to drive a project to completion
  • Understanding of financial markets is helpful but is not essential
  • Canadian work authorisation is preferred (Canadian citizenship, permanent resident status or work permit)
Data Scientist and Analyst

We are seeking world-class researchers to visualise and explore data sets to enable the development and generation of new trading algorithms. We draw ideas and inspiration from the broader math, science, and investment communities.

We are looking for exceptional individuals who can develop and implement complex statistical quantitative mathematical models.

Location:

Vancouver, British Columbia, Canada

Apply Online
Responsibilities:
  • Researching, evaluating and modeling large volumes of trading information to design, develop and test computer-based trading algorithms
  • Originating and developing research projects
  • Liaising with data vendors
  • Evaluation, processing and pragmatic utilization of large data sets
  • Identifying timely and unique data sets, diving deep into a diverse set of data domains, visualizing and exploring underlying data drivers, and developing data set features and forecasts
Requirements:
  • Masters or PhD in mathematics, physics or related fields in quantitative disciplines
  • Solid programming abilities
  • Programming experience in Python and familiarity with Linux and kdb+ is a bonus
  • Experience contending in national or international math, physics or computer science competitions is strongly preferred
  • Innate curiosity and resourcefulness
  • While we analyze the data-rich domain of finance, financial experience is not a requirement
  • Canadian work authorisation is preferred (Canadian citizenship, permanent resident status or work permit)