Job Description

Riskfuel has a unique set of challenges around Data Management. We use a variety of strategies to generate pseudo-random pricing requests based on financial model specifications and distribute 100 million+ pricing request calculations across thousands of nodes in our Kubernetes Clusters to generate a unique trade database for each model. This Trade Database becomes the training data that teaches our Neural Networks to mimic the Bank and Insurance company models and deliver performance up to 1 million times faster.

This role is primarily focused on the Microservice Architecture and data management strategies used in our data generation pipeline. We’re developing features to be smarter around our pseudo-random pricing request generation, more efficient with cluster compute resources, while improving our overall data storage and management strategies.

Qualifications

If you have experience working with Event-Driven Architectures, are proficient with Python, like diving into new technologies, and aren’t afraid to pick up occasional academic research papers, this may be a good role for you.

Our Tech Stack, in order of importance, currently includes:

Python
Docker
Kubernetes
Apache Pulsar/Kafka
Redis
PyTorch
Prometheus
Grafana
Azure, AWS, GCP
ArgoCD
Alluxio

Additional Information

About the company

Riskfuel provides AI-accelerated valuation and risk sensitivity calculations for derivatives used by banks and insurers. It trains deep neural networks on clients’ existing CPU models to reproduce their outputs, then deploys the neural nets on GPUs to deliver results in seconds instead of hours. The service uses a packaged neural net with the same API as the client model, preserving accuracy while dramatically increasing speed. Its goal is to enable real-time portfolio valuation and risk analytics, helping institutions manage risk, boost trading activity, and reduce compute costs.

Company Size

1-10

Company Stage

Seed

Total Funding

$100K

Headquarters

Toronto, Canada

Founded

2019

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Simplify's Take

What believers are saying

Intel’s September 2026 partnership validates production performance on Xeon 6 CPUs.
BMO cited faster scenario analysis after a successful pilot on autocallable notes.
Scotiabank credits Riskfuel with award-winning XVA technology and faster derivatives pricing.

What critics are saying

Model-risk scrutiny from regulators like RBI will slow bank deployments through 2026.
A single inaccurate surrogate can trigger trade losses, validation failures, and terminated mandates.
OpenAI, Bloomberg, and FactSet already own finance workflows, squeezing Riskfuel's expansion path.

What makes Riskfuel unique

Riskfuel turns Monte Carlo pricers into neural surrogates, preserving bank APIs.
Intel’s September 2026 case study showed 2.27 million valuations per second.
BMO and Scotiabank already use Riskfuel for structured notes and XVA.

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Company News

Riskfuel

Sep 1st, 2026

Riskfuel Intel collaboration.

Riskfuel Intel collaboration. Toronto, Sept 2026 - Riskfuel and Intel partnered to find a better way to outperform traditional Monte Carlo models with with near perfect accuracy. Compared to traditional model pricing that achieved approximately 1 valuation per second, Riskfuel Neural Surrogate on Intel(R) Xeon(R) processors with Intel(R) Advanced Matrix Extensions (Intel(R) AMX) achieved approximately 2.27 million valuations per second. 140 Yonge Street Toronto, ON M5C 1X6 (C) 2026 Riskfuel. Riskfuel Analytics Inc.

PR Newswire

Jun 14th, 2023

Kinetica Expands Partner Ecosystem To Bring The Power Of Real-Time Analytics For Time Series And Spatial Workloads To More Businesses Worldwide

ARLINGTON, Va., June 14, 2023 /PRNewswire/ -- Kinetica , the database for time & space, today announced that it has expanded its partner ecosystem in the United States, Europe and Asia to help meet the growing demand for its real-time, vectorized, analytic database for time-series and spatial workloads. The company added strategic global systems integrators to its partner roster, including Expero , Riskfuel and Semantic AI . This partner program expansion comes after the company announced record business momentum of 90% Annual Recurring Revenue (ARR) growth, Net Dollar Retention Rate (NDRR) of 163%, and doubling of its customer base."Kinetica is experiencing booming demand for its real-time, vectorized, analytic database as businesses fuse and analyze their massive geospatial and time-series data in real-time to support new application areas. One of the ways we're addressing this interest is by expanding our network of top-tier channel partners," said Nima Negahban, Cofounder and CEO, Kinetica. "The combination of our partners' deep domain expertise and Kinetica's advanced analytic database is helping organizations across industries from financial services and telecommunications to health and safety and automotive obtain key insights to preempt fraud, provide better cell service, boost the customer experience, provide new data driven services, and much more."This partner program expansion comes after Kinetica announced 90% Annual Recurring Revenue (ARR) growth. Tweet thisKinetica's partner program connects resellers, systems integrators and service providers with complementary technology solutions and services with new prospects to deliver unparalleled domain knowledge to one of the most exciting and impactful areas of enterprise technology