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Squarepoint Capital

Software Developer - Core Data

Montreal
Posted about 19 hours ago
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About the Role

The Core Data team models and owns the structured datasets that connect Squarepoint to the outside world, effectively representing the firm's view of reality. We partner closely with portfolio managers and investment researchers to define robust data models and build reliable data pipelines that transform and consolidate diverse sources into high-quality, centrally managed datasets.

These datasets are delivered through a service-oriented platform designed for scalability, reliability, and performance. Our technology supports every stage of the investment lifecycle, from research and backtesting to trading and portfolio management.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Responsibilities

  • Acquire a deep understanding of the data requirements provided by investment research teams and deliver solutions that create business impact
  • Design, implement, test, optimize, and troubleshoot data pipelines and services using Python and q
  • Work with a range of database technologies, including PostgreSQL and kdb+
  • Analyze, onboard, and curate vendor datasets, becoming a subject matter expert in third-party data
  • Take a leading role in production support and operational excellence during business hours

Required Qualifications

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  • Bachelor’s degree in Computer Science, Engineering, or related subject
  • 4+ years of professional software engineering experience
  • Proficiency in Python and/or kdb+/q
  • Experience developing software in a Linux environment
  • Excellent verbal and written communication skills
  • Curiosity and a willingness to learn new technologies, tools, and frameworks

Nice to have

  • Knowledge of SQL and experience with relational and/or time-series databases
  • Experience building and operating data-intensive applications
  • Experience working with and analyzing financial datasets
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Skills

Python
Kdb+
Q
Linux
PostgreSQL
Data modeling
Data pipelines
SQL
Time-series databases
Financial datasets
Software engineering
Production support
Data curation
Service-oriented architecture

Location

Montreal, Quebec, Canada

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