Quantitative Software Engineer - DeFi Economic Optimization

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.

You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.

Key Responsibilities:

Data Scientist - DeFi Quantitative Research

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance and currently manage risk and incentives covering over $42 billion in customer TVL. We are seeking experienced Data Scientists to help new and established protocols better understand and optimize the systems they've built.

In this role, you will work directly with the premier and most innovative DeFi protocols, developing expert-level knowledge of the mechanisms that underpin the industry. This requires a strong ability to perform in-depth quantitative research, manage client engagements end-to-end, and translate complex data insights into clear, actionable value.

Responsibilities:

Location: San Francisco, CA (Mission District)

Employment Type: Full-time

Work Arrangement: On-site 5 days per week

About the Role

Our client, Automat, Inc., is a rapidly scaling enterprise AI company with $20 million in funding, focused on redefining Robotic Process Automation (RPA) and Intelligent Document Processing (IDP). Their mission is to make teaching AI agents to build automations as easy as showing a colleague the desired workflow.

They are seeking a product-minded Full-Stack Software Engineer to join their small, early-stage team. This is a high-impact role where your contributions will go beyond code, actively shaping the technical direction and culture. You will be responsible for building the robust, foundational product that supports their complex, large-scale customer deployments.

What You'll Do

We are looking for a Game Mathematician to design and fine-tune game math models and perform simulations. You will collaborate with developers and product owners, providing mathematical insights and specifications throughout the game development process.

Requirements

• University degree in mathematics / computer science / technology / engineering;
• At least 1.5 years commercial experience as a game mathematician (or similar position) in online gambling;
• An understanding of how different slot mechanics work;
• A high level of attention to detail: the ability to spot even small mistakes in your math models and troubleshoot them;
• Brilliant at solving abstract and highly complex math problems;
• Data-driven and analytical mindset in decision-making;
• Teamwork experience;
• English B2+.

Will be a plus:

• Scripting skills in Python;
• Experience with Git (or other VCS);
• Motivated by challenges and stretch goals;
• Strong mathematical intuition, creativity and curiosity;
• Ability to look at games from players' point of view;
• Self-organization, ability to prioritize tasks.

Responsibilities:

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Engineer II in United States.

As a Data Engineer II, you will play a critical role in building and maintaining the data platform that drives business insights and operations. This role requires collaboration across teams to deliver secure, reliable, and scalable data pipelines. You will work closely with engineers, data scientists, and product managers to build out systems that support data-driven decision-making and optimize data flows across the organization. This position offers an exciting opportunity to contribute to the creation of an enterprise-grade data platform from the ground up, in a fast-paced, mission-driven environment.

Accountabilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements