Lead Quantitative Snowflake Developer

TS Imagine

Montreal (administrative region)

On-site

CAD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Unlimited vacation + personal days

Annual bonus and salary review

$1,500 training budget

RRSP with company matching

Health insurance

Public transportation subsidy

Job summary

TS Imagine seeks a Lead Quantitative Snowflake Developer to own data foundations behind TradeSmart in Montreal. You will build quantitative datasets, AI pipelines, and analytics for signals, liquidity, and best execution across assets.

You will work with Snowflake, Python, SQL, dbt, and OneTick in a scalable, real-time environment, mentoring engineers and collaborating with AI and quant teams.

Qualifications

MS 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

Responsibilities

Own end‑to‑end development of scalable pipelines feeding TradeSmart’s execution analytics and liquidity models.
Build high‑performing data applications in Python, SQL, Snowflake, dbt, and OneTick.
Construct and maintain quantitative datasets—venue liquidity profiles and alpha signals.
Design and operate real‑time time‑series workflows on OneTick for intraday analytics.
Partner with Quant Developers and AI Engineers to optimize analytics infrastructure for latency and throughput.
Build agentic AI workflows using Cortex Code, Claude, and OpenAI to enhance data quality and research velocity.
Design Snowflake Semantic Views to make trading data discoverable for analysts and AI agents.
Apply AI evaluation discipline (TruLens, Snowflake AI Observability) to agentic workflows.
Document data methodologies for internal review and client validation.
Mentor junior team members and help set technical standards for the team

Skills

Python

SQL

Snowflake

dbt

Time-series

OneTick

AI tooling

Mentoring

Education

MS in mathematics / equivalent

Tools

OneTick

kdb+

Claude

OpenAI

Snowflake

dbt

Job description

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 Snowflake's 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 You’ll Do

Own end‑to‑end development of scalable pipelines feeding TradeSmart’s 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 plusExperience leading technical projects and mentoring engineers

Why TS Imagine