Full Stack Software Engineer at Delphia (W18)
A quantitative investment strategy anyone can improve with their data.
About Delphia

Delphia is building the world's first investment strategy that anyone can improve with their data.

By sharing opinions about the world around you and connecting the activity data from whichever apps you choose to, Delphia is able to forecast the growth and profitability for thousands of companies simultaneously through a series of machine learning models. When Delphia's model disagrees with the market, we adjust the weights of our diversified equity portfolio to reflect the confidence we have in our predictions.

About the role

About Delphia

Delphia is the world’s first investment strategy anyone can improve with their data. We select stocks to a portfolio by analysing trends in both the data of our members and the market itself. This helps us predict which companies will win or lose and helping you earn the returns you deserve.

We are building a new kind of company that re-thinks the value of privacy, data rights, and fiduciary responsibility in order to ensure your data is always working for you – like your money.

Whether we're identifying trends or educating people on how their data can be used to make better investment decisions, people at Delphia are socially-minded creatives at heart. Our teams are continually iterating, solving hard problems, and collaborating to generate new forms of value and economic returns for our users (we call them “members”, in fact). Working together, we want people to realise the true value of their data – and we're just getting started.

Delphia is a growing (37 people), multi-disciplinary team located in the heart of downtown Toronto and around major North American cities. We began in January 2018 and are graduates of Y Combinator and the Creative Destruction Lab. We’ve raised two rounds of funding and approximately $20 million to date.

About the role

Delphia is looking for an experienced full stack software developer who is curious about fin-tech and passionate about building quality systems.

Working as a full stack engineer, you will mostly be working in the backend, however you will operate in other parts of the stack when needed.

You will work inside a multi-disciplinary product team helping develop new features and APIs, go from idea to implementation, and take responsibility for the existing software and its evolution, all while maintaining high quality and performance bars.

We'd love to hear from you if :

  • You are experienced at languages and frameworks such as Python, Django, React and SQL to build modern, scalable apps
  • You're comfortable working on new and existing APIs to support our mobile app
  • You have a high bar for the quality of your code. You take pride in it and you pay attention to what you commit
  • You’re curious about the technologies you use and take initiative to dive in and figure things out when you have a question
  • You have an opinion on things but are low on ego
  • You have 1-3+ years of experience

Bonus Points

  • You have a B.S. or M.S. degree in Computer Science
  • You’re curious about mobile development and fintech
  • You’ve worked with cross-functional teams

As a member of the Delphia team, you will enjoy a variety of perks and benefits such as:

Health Benefits :

  • Comprehensive Health and Dental Benefits, plus a Health Spending Account


  • Flexible work hours with the ability to work from home when need be

  • Work From Anywhere Policy

  • Flexible Time-Off Policy

Investment Opportunities:

  • Employee Stock Options

  • Access to our Hedge Fund

Learning & Development :

  • Tuition Reimbursement

We are an equal opportunity employer and value diversity at our company. We do not discriminate by race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Delphia is committed to working with applicants requesting accommodation at any stage of the hiring process.


Python (Django), React, Postgres Tensorflow, Keras, Pandas / Scikit-learn Airflow, Hadoop (Presto / Spark / Hive) Kubernetes, Terraform

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