Lead Quantitative Snowflake Developer

About the job

TS Imagine builds the trading and analytics infrastructure that powers some of the largest buy-side and sell-side institutions in the world. We are looking for a Lead Quantitative Snowflake Developer to join our Models and Quantitative Data team in Montreal the senior technical anchor who owns the data foundations behind TradeSmart our execution and trading analytics platform.

You will build the quantitative datasets AI pipelines and analytics that detect signals identify liquidity evaluate best execution benchmark transaction costs and surface alpha opportunities across equities credit FX fixed income commodities crypto and their derivatives.

This is big data at scale. We work with trillions of price interactions full-depth order book history and global multi-asset tick data the kind of volume where every architectural decision matters.

Why this role is different

We are an AI-First organization
We always try to use AI first. If it does not make sense or does not work we do differently. Since 2023 we have managed humans and digital agents as one team not a future-state aspiration our operating model. Every workflow you build will be designed to be executed evaluated and extended by both people and agents.

Reference implementation for Snowflake and its AI capabilities
We are one of the major consumers of Snowflake Cortex Code globally. We collaborate directly with Snowflakes product and research organizations as a design partner on Cortex Code Cortex Analyst Semantic Views and AI Observability.

Time-series at real-time scale with OneTick
We leverage OneTick from One Market Data for large-scale time-series analytics performed in real-time tick-level market microstructure intraday execution analysis and live signal computation across global venues.

State-of-the-art stack used daily
Snowflake dbt Python SQL Claude OpenAI Cortex Code TruLens OneTick. Not pilots. Production workflows that ship to the largest trading firms in the world.

TradeSmart focus
Execution analytics liquidity discovery best-execution evaluation transaction cost benchmarks alpha signals. The data and AI you build directly shape how our clients trade.

Built for engineers who like hard problems
Trillions of rows. Real-time constraints. Multi-asset complexity. If applied mathematics at scale is what you want to spend your time on this is the role.

Who will love this job

A scientist Loves applied mathematics and numerical problems solved at scale
An engineer Cares about performance clean code and architecture that scales to trillions of rows
A data & AI practitioner Treats Claude Cortex Code and agentic workflows as core tools not novelties
An owner Takes a broad surface area and holds themselves to a high bar
A leader Earns trust. Makes the engineers around them better
A learner Ready to take on some of the hardest problems in quantitative trading

What youll do

Own end-to-end development of scalable pipelines feeding TradeSmarts execution analytics liquidity models best-execution evaluation signal detection and transaction cost benchmarks across all asset classes
Build and maintain high-performance data applications in Python SQL Snowflake dbt and OneTick to transform and validate trillions of market and trade data points
Construct and maintain the quantitative datasets venue liquidity profiles execution benchmarks intraday market microstructure features alpha signals that power in-trade and post-trade analytics
Design and operate real-time time-series workflows on OneTick for tick-level analytics intraday computation and live signal generation
Partner with Quant Developers and the AI Engineering team to optimize analytics infrastructure for latency throughput and reliability at scale
Build agentic AI workflows using Cortex Code Claude and OpenAI to enhance data quality anomaly detection signal discovery and quantitative research velocity
Design Snowflake Semantic Views that make trading data discoverable and queryable by both human analysts and AI agents
Apply AI evaluation discipline (TruLens Snowflake AI Observability Agent GPA) to every agentic workflow you ship
Document data methodologies clearly to support internal review and external client validation
Mentor junior team members and help set the technical standards for the team

What you should have

M.S. in mathematics physical sciences computer science or engineering or equivalent practical experience
5 years of large-scale Python development SQL programming and data-intensive product work in a financial context
Strong proficiency with Snowflake and dbt
Working understanding of market microstructure execution analytics or trading data and the appetite to go deeper
Experience with tick-level or time-series data platforms (OneTick kdb or equivalent) is a strong plus
Hands-on experience applying AI and ML to financial data problems; familiarity with Claude OpenAI or comparable LLM tooling is a strong plus
Experience leading technical projects and mentoring engineers

Why TS Imagine

Unlimited vacation personal days
Annual bonus & salary review
$1500 training budget
RRSP with company matching
Health insurance
Public transportation subsidy

About TS Imagine

TS Imagine delivers integrated trading portfolio and risk solutions used by global financial institutions.

With 400 employees across 10 offices we power workflows across front middle and back office.

We challenge our people to innovate move fast and think differently.