Job Description

###

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:

Model Implementation:

Design and implement strategies for managing risk and optimizing DeFi protocols using

quantitative models, simulations, and machine learning

.

Tool Development:

Develop and maintain tools and engines for parameter recommendations, driving direct, measurable impact to protocols.

Data Pipeline Ownership:

Own the whole lifecycle of protocol integrations, including building data pipelines and working with cross-functional teams to define data requirements and product offerings.

Data Architecture:

Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies, and research development.

Platform Contribution:

Contribute to making our core modeling platform world-class by integrating cutting-edge research and engineering best practices.

Strategy Optimization:

Optimize protocol logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies (e.g., Protocol-Owned Liquidity).

Industry Expertise:

Stay current with the latest industry trends, market risk vectors, and market conditions to keep strategies on the cutting edge of crypto and DeFi innovation.

Requirements

Quantitative Experience:

Minimum

4 years of direct hands-on experience trading or analyzing financial markets

(crypto or traditional) professionally.

Modeling:

Proven experience developing

statistical or quantitative models

for financial markets.

Technical Proficiency:

Proficient at writing code in Python and SQL

with a solid understanding of software engineering principles.

Data Systems:

Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (e.g., Spark).

Math/Stats:

Excellent understanding of

statistical modeling, machine learning, and optimization algorithms

.

Scientific Computing:

Experience with scientific computing packages such as

Numpy/Scipy, Pandas

, etc.

DeFi Understanding:

Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).

Mindset:

Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.

Preferred Qualifications (Bonus Points):

Master's or Ph.D. in a Quantitative field like Mathematics, Economics, Computer Science, Physics, or similar fields. Published or presented research in the space.

Benefits

Location:

Remote-first

--work from anywhere in the

US & Canada

.

Compensation:

Highly competitive packages including

base salary (

$150K - $200K

), On Target Earning potential

in terms of cash bonuses, and

equity refreshers

(in addition to your initial Series B equity grant).

Health:

100% paid medical, dental, and vision premiums

for employees.

Time Off:

Unlimited vacation policy

and 100% paid parental leave of 12 weeks.

Stipends & Perks:

$1,000 WFH stipend

upon joining.

$100 per month reimbursement

for fitness-related expenses. Monthly reimbursement for home internet, phone, and cellular data. Regular in-person company retreats and cross-country "office visit" perk.

Impact:

Contribute to the forefront of DeFi economic understanding and optimization, working on projects that value deep research and practical outcomes.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.


MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.