Quantitative Jobs in Web3

271 jobs found

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Job Position Company Posted Location Salary Tags

NOYA Network

Remote

Alldus

United States

$84k - $100k

Binance

Asia

Investinu Group

United States

$9k - $11k

Paraform

San Francisco, CA, United States

$120k - $180k

Cash App

San Francisco, CA, United States

$152k - $185k

GSR

London, United Kingdom

Chainlink Labs

United States

$45k - $92k

Consensys

Remote

$135k - $277k

Crypto.com

Hong Kong, Hong Kong

Drift Labs

New York, NY, United States

$45k - $90k

Algo Capital Group

New York, NY, United States

$150k - $200k

Genesis Global Trading, Inc.

New York, NY, United States

Cyber Capital

Amsterdam, Netherlands

$28k - $100k

GSR

London, United Kingdom

Web3 Machine Learning Engineer Quantitative Strategist

NOYA Network

This job is closed

NOYA is hiring a Web3 Machine Learning Engineer - Quantitative Strategist 

NOYA is a native Omnichain yield aggregator that non-custodially allows users to farm protocols Omnichain efficiently.

We seek quantitative researchers and machine learning engineers interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative quantitative models and algorithms.

·Develop core algorithms and models leading directly to better risk, trading, and lending

·Be able to distill complex models and analysis into compelling insights for our users

·Ensure data quality throughout all stages of acquisition and processing

·Stay up-to-date with data science tools and methodologies 

·Knowledge of probability and statistics, including time series, predictive modeling, optimization, and causal inference. Experience in design and deployment of real-world, large-scale, user-facing systems

Qualifications:

·Expertise in quantitative research, portfolio management, risk management, and/or trading

·Experience as a quantitative analyst/developer/trader. Must have some experience in quantitative modeling/trading.

·2+ years of experience deploying statistical, time series, and/or machine learning models in production

·Passion for DeFi and crypto, including a deep understanding of AMMs (Uniswap V3 Optimizations) while proactively engaging in new developments 

·2+ years of experience in integrating quantitative models into applications

·Skilled in programming languages like Python, Java/C++/C#, and SQL

·Sound knowledge in dealing with large data sets for analytical approaches and quantitative methods

·Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations

·Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark

·Strong technical and business communication

Compensation and Benefits:

Compensation: We understand that top talent deserves top pay, which is why we offer a competitive compensation package consisting of both crypto remuneration and an equity/token pckage in NOYA.

Flexible schedule: We believe that our team members work best when they're happy and fulfilled, which is why we offer a flexible work schedule that allows you to work from anywhere in the world and manage your own time.

Intellectual freedom: We believe that the best ideas come from individuals who are free to explore and innovate. That's why we offer our team members the intellectual freedom to develop novel models and frameworks for innovative financial products and turn ideas, theories, and research into real-impact implementations.

What is a quantitative career?

A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology

A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications

Some examples of quantitative careers include:

  1. Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
  2. Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
  3. Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
  4. Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
  5. Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.