Who We Are
Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions. Our award-winning cloud platform supports banks, credit unions, private equity firms, hedge funds, asset managers, and insurance companies in managing interest rate, FX, and commodity risks, optimizing hedging strategies, and streamlining cross-border payments. With a client base spanning over 250 financial institutions and leading private equity firms, we deliver scalable solutions that enhance risk management and drive operational performance. Through strategic partnerships with Goldman Sachs, Wells Fargo, FNBO, Q2, and Jack Henry, we provide best-in-class capabilities to help clients achieve their financial objectives in an ever-evolving market.
With a team of seasoned professionals comprised of decades of industry experience, Derivative Path offers a flexible, hybrid work environment to its 125+ employees with the ability to work remotely and from one of four offices in San Francisco, New York, Chicago, and Manila. The Company is dedicated to building a diverse environment and has an unwavering commitment to creating a sense of belonging for all employees.
The Opportunity
We are seeking an Associate Director of Data Ingestion to lead and evolve our data import capabilities as we scale DerivativeEDGE, our cloud-native derivatives platform serving banks, credit unions, investment managers, and corporate treasury teams. Reporting to the Director of Data & Insights, this role partners closely with Engineering, Product, and AI Lab to build intelligent, flexible data ingestion infrastructure that removes friction from how clients bring their data into the platform.
This position requires strong experience in data engineering, financial data operations, or capital markets technology, enabling the Associate Director to understand the diversity and complexity of data formats, custodian feeds, and reporting structures across financial institutions. You will be responsible for driving the team's capability to ingest data in any format, leveraging AI to reduce manual intervention, accelerate onboarding, and ensure the reliability of the data that powers our clients' risk management workflows.
What You'll Do
- Lead and mentor the Data Ingestion team, fostering a culture of ownership and continuous improvement as the team scales its AI-assisted capabilities.
- Define and execute the ingestion strategy, prioritizing AI-driven format detection, transformation, and validation across structured, semi-structured, and unstructured data from custodians, counterparties, and internal systems.
- Apply domain knowledge of financial data formats, including trade confirmations, position files, cash flow feeds, and valuation reports, to ensure data fidelity across the full trade lifecycle.
- Partner with the AI Lab to deploy models that automate field mapping, schema inference, anomaly detection, and format normalization at scale.
- Establish metrics around ingestion reliability, latency, and data quality, with a clear definition of done and a bias toward proactive monitoring.
What You'll Bring
- 8+ years in data engineering or data operations, with 3+ years in a leadership role managing ingestion pipelines or financial data integration.
- Demonstrated experience with financial data formats and sources, including custodian files, prime brokerage feeds, trade repositories, or capital markets data vendors.
- Strong understanding of modern ingestion architecture, including streaming and batch patterns, schema management, and cloud-native pipeline tooling.
- Hands-on experience applying AI and ML to data problems, including format recognition, field mapping, or anomaly detection, with a bias toward production deployment.
- Excellent communication skills, with the ability to align Engineering, Product, and client-facing teams around priorities and drive outcomes in an Agile delivery environment.
Preferred Qualifications
- Hands-on experience with Apache Kafka or similar event streaming platforms for real-time data pipelines.
- Familiarity with AWS services including compute, storage, and managed database offerings.
- Experience with Python or C# in a data engineering context.
- Exposure to .NET-based platform ecosystems or financial SaaS environments.
Location
- Canada
Benefits
- Competitive bonus, base salary, and equity compensation
- 23 days of PTO
- Fully remote
- RRSP contribution at 3%
- Competitive health benefits
The expected salary for this position is $130K to $160K CAD and is eligible for a discretionary bonus and equity. We will consider your skills, experience, and location when determining your pay.
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Derivative Path is an equal opportunity employer and does not discriminate based on any of the following: race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression or gender characteristic, national origin, religion, marital status, medical condition, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Derivative Path offers a comprehensive benefits package, including health, dental, vision, retirement plan contribution, and a generous paid time off policy.
