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Derivative Path

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

💸 Finance

💰 $35M Private Equity Round on 2020-06

Consulting • Logistics • Finance

Derivative Path is a leading provider of cloud-based platforms and technologies for managing derivatives and hedging programs. The company offers specialized services in interest rate derivatives, foreign exchange, and commodities trading. With a strong focus on risk management and compliance, Derivative Path provides solutions such as hedge accounting, FX payments, and platform solutions for balance sheet and customer loan hedging. Catering to financial institutions, end-users, and buy-side clients, Derivative Path's software as a service (SaaS) technology supports real-time payments and advanced derivatives trading strategies. The firm integrates artificial intelligence to enhance operational efficiency and reduce time spent on trade-related tasks.

📋 Description

• Build and ship LLM-powered features across the DerivativeEDGE platform. • Translate complex financial workflows into reliable AI capabilities with domain experts. • Design and implement agentic workflows that reason, act, and recover across multi-step production processes. • Own the data engineering layer supporting AI systems, including pipelines, retrieval architectures, context design, and data quality. • Prototype quickly, evaluate solutions, and determine when they are ready for production. • Contribute to the AI Lab’s technical direction, evaluations, tooling, MLOps practices, and reusable engineering patterns. • Work on NLP, model fine-tuning, synthetic data, or reinforcement learning as projects require. • Collaborate with Engineering, Product, and domain experts. • Report to the AI Lab lead.

🎯 Requirements

• Experience building with LLMs, including prompt engineering, RAG, fine-tuning, agents, or inference pipelines. • Experience designing and building data pipelines that feed real workflows. • ML or data science experience, especially in complex or data-constrained environments. • Working knowledge of Python and common AI/ML frameworks such as PyTorch, HuggingFace, and LangChain. • MLOps or production AI experience, including moving models from notebooks into production. • Experience with a cloud platform: Azure, AWS, or GCP. • Curiosity about and willingness to learn the financial derivatives domain. • Pragmatic approach to tools and programming languages. • Experience with reinforcement learning or financial derivatives is a bonus, not a baseline. • Must be legally entitled to work in Canada or address Canadian work-visa sponsorship requirements.

🏖️ Benefits

• Competitive bonus • Base salary of $110k–$150k CAD • Equity compensation • 23 days of PTO • Fully remote work • RRSP contribution at 3% • Competitive health benefits • Health, dental, and vision coverage • Retirement plan contribution • Generous paid time off policy