Quantitative Developer Jobs in Web3

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Job Position Company Posted Location Salary Tags

portofinoltd

London, United Kingdom

$92k - $106k

Kronosresearch

Remote

$27k - $75k

Woo

Remote

$27k - $75k

Dvtrading

Remote

$105k - $180k

Presto

South Korea

$105k - $180k

Bitwise Asset Management

New York, NY, United States

$150k - $200k

Elwoodtechnologies

Remote

DV Trading

Toronto, Canada

$112k - $180k

DV Trading

New York, NY, United States

$160k - $200k

Kronos Research

Taipei, Taiwan

$79k - $106k

Syndr

Delhi, India

$103k - $112k

falconx

New York, NY, United States

$126k - $140k

Nascent

Montreal, CA, United States

$64k - $86k

FalconX

New York, NY, United States

$180k - $200k

Tokemak

Remote

$200k - $300k

portofinoltd
$92k - $106k estimated
City Rd, London, UK

Company Description

Portofino Technologies is a start-up building high-frequency trading (HFT) grade technology for digital assets. 

Today, Portofino provides liquidity on the largest centralised and decentralised cryptocurrency exchanges and provides services to institutions and Web3 projects that require digital asset liquidity. 

Since our establishment in 2021, we have been building market-leading HFT technology to deploy our liquidity provisioning algorithms. Our competitive advantage is our superior proprietary technology that leverages advanced machine learning and stochastic control techniques to provide our clients and partners with the best pricing in the market. 

We are backed by some of the largest VCs in the world, Valar Ventures, Coatue, and Global Founders Capital. Our vision is to scale our technology across the full crypto infrastructure value chain.

Job Description

 

Summary of the role

As a performance or quantitative developer, you form the backbone of the business and are responsible for building our trading system as well as connecting to new exchanges.

As an experienced C++ developer you are passionate about building scalable & performant technology. 

You are an ideal candidate if you are:

  • Interested in solving low-latency systems problems and optimising performance-critical code
  • Passionate about technology, interested in both low level details of how computer hardware operates and high-level design of large systems
  • Have a “start up” mentality, are able to iterate quickly and write production quality code rapidly

Your responsibilities

  • Responsibilities will span the entirety of the trading system, and will cover multiple products & assets within the crypto-currency trading universe (e.g. cash, futures)
  • Projects may include connecting to new exchanges, upgrading major trading system components, designing a completely new application from scratch
  • In this role, you will have the opportunity to deploy your coding skills to build a large-scale trading system (from scratch!) and understand crypto-currency trading

Qualifications

 

Your profile

  • Higher university degree in Computer Science, Computer Engineering with excellent grades
  • Exposure to capital markets or interest in crypto and blockchain environments is highly preferred

Required technical competencies (must have)

  • 5+ years experience coding in C++, affinity with C++17 and C++20 
  • Professional experience in back end engineering/ python programming
  • Experience with writing high performance code & benchmarking 
  • Advanced skills with object oriented design, data structures and algorithms
  • Experience with GDB & Valgrind
  • Familiar with all phases of SDLC (unit testing, automatic build and release, peer-review, Gitlab and Cmake)
  • Expert troubleshooting abilities with strong debugging and problem solving skills
  • Understanding of network and hardware architecture
  • Experience with thread pinning, CPU isolation, kernel bypass and shared memory is a plus

Preferred technical competencies

  • Experience developing distributed systems and cloud services
  • Database applications, intermediate (SQL, KDB)
  • Experience with running code in containerised environments is a plus, especially Docker and Kubernetes
  • Experience with AWS (or other cloud software/infra) (nice to have)
  • Experience with userspace network stack
  • Experience with multiplexed event loops like boost asio, libuv
  • Experience with custom memory allocation, memory pooling, handling of statically allocated buffers and buffer sets, using buffer sequences and scatter-gather io
  • Experience with replacement classes for standard library classes
  • Experience with NUMA, cache optimising code, hardware inference
  • Experience in stopping template bloat

Additional Information

If interested apply directly or contact us at [email protected]


 

Disclaimer for recruitment agencies: Portofino Technologies does not accept unsolicited CVs or applications from recruiters or employment agencies in response to our career portal or our social media posts. Portofino Technologies will not agree to payment of any compensation or referral fee relating to these applications. Portofino Technologies reserves the right to hire these candidate(s) without any financial obligation towards the recruiter or agency. Any unsolicited CVs, including those submitted to hiring managers or any other Portofino employee, will be considered as property of Portofino Technologies.

Disclaimer for recruitment agencies: Portofino Technologies does not accept unsolicited CVs or applications from recruiters or employment agencies in response to our career portal or our social media posts. Portofino Technologies will not agree to payment of any compensation or referral fee relating to these applications. Portofino Technologies reserves the right to hire these candidate(s) without any financial obligation towards the recruiter or agency. Any unsolicited CVs, including those submitted to hiring managers or any other Portofino employee, will be considered as property of Portofino Technologies.

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Portofino Technologies AG; Zug, London, Amsterdam, New York, Singapore; https://www.portofino.tech/

What do quantitative developers do?

Quantitative developers, also known as quants, are professionals who work in the financial industry and use their expertise in computer programming and quantitative analysis to develop and implement financial models and trading strategies

They work closely with quantitative analysts and traders to design, implement, and test complex algorithms and financial software

Quantitative developers in Web3 utilize their programming skills and quantitative analysis expertise to build decentralized systems and applications

They work on developing and implementing financial models, trading algorithms, and smart contracts that can be used to power decentralized finance (DeFi) platforms and other Web3 applications

Some specific tasks that a quantitative developer may be responsible for include:

  1. Developing financial models and algorithms: Quantitative developers use programming languages like Python, C++, and Java to design and implement financial models and algorithms that can be used to analyze data and make investment decisions. They may work with quants to translate mathematical models into executable code.
  2. Building and maintaining trading systems: Quantitative developers may build trading systems that automatically execute trades based on pre-programmed algorithms. They may also be responsible for maintaining these systems and ensuring that they are running efficiently and accurately.
  3. Developing decentralized financial products and services: Quantitative developers work on designing and implementing smart contracts and other financial models that can be used to create decentralized financial products such as decentralized
  4. Building blockchain infrastructure: Quantitative developers may work on developing the underlying blockchain infrastructure that powers decentralized applications. This may involve developing consensus algorithms, building smart contract execution platforms, and designing secure and efficient data storage solutions.
  5. Conducting data analysis: Quantitative developers may work on analyzing on-chain data from decentralized platforms to identify trends and inform investment decisions. They may also develop new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.