LATOKEN is hiring a
Web3 KYC Developer

Compensation: $60k - $180k *


LATOKEN is a crypto exchange leading startup tokens market with 250+ primary placements and 1000+ assets.
Our active users grew by 8x in 2021 to 3M+ accounts including 1.5M+ mobile with 30K+ 5 stars reviews.
We have the top trust score in the global list of exchanges Coingecko and are rated top 20 among 588 other exchanges.

We are building the next capital market - the “Amazon of Crypto” where it is easy to put an asset to the marketplace, discover, and buy or sell. In other words, we are opening the door for the next billion traders to the next million digital assets from cryptocurrencies to equity, commodity, and real estate markets.

We are doing this to unite the global population for humankind's prosperity. Those who own tradable assets benefit from the growth of the global market. Their brainpower and investment decisions focus planetary resources to build a better future. The more people will become stakeholders of the future, the better it will be.

This becomes possible today as blockchain tech solves the property rights problem without armies and political force. Thus people around the world can open an account as easily as in a social app and have their rights protected.

Our culture is for champions living to change the world and are free to overdeliver toward the mission.
We are acknowledged by FORBES as one of the top 30 companies for remote jobs in 2022. We offer a generous stock options package, competitive pay, and stellar growth with the dawn of the web3 era.

Here is our backlog and a full list of open jobs.

Role: KYC Developer
Unit: KYC

Role Mission: Prevented fraud in Automated KYC.



  • LATOKEN needs bug-free KYC service to comply with payments providers and isolate users from prohibited countries from trading.
  • Traders need fast & simple KYC to start trading (so we don't loose traders).

Reduce KYC mistake below 1% while keeping verification time below 10 mins. (With in 2 month).


  • Update database of fake user KYC applications cases and use it for the training of the neural network.
  • Find new ways to detect fake KYC applications.

Constraints:Make audit part of KYC process.

Main performance number: Fraud detection mistake %
Second performance number: Uptime of KYC service %
Third performance number: Cost of KYC service


• Cost management : Minimize the cost of KYC service infrastructure.
• Inputs : Interact with all LATOKEN units impacted by KYC fraud and collect inputs from them.
• AML policy : Ensure up-to-date connection to all AML databases and use them to prevent prohibited users from using LATOKEN services.
• Algorithms : Continuously improve the quality of fraud detection algorithms to outpace fraudsters.
• Antifraud : Build and maintain ML models to prevent fraud and prohibited users from passing KYC.
• Production : Design production infrastructure and roll out models to ensure scalability up to 10000+ online KYC users and 99.99% uptime.

Requirement skills and experience:

  • Python, ML, DL, REST API.
  • GPGPU programming using CUDA.
  • Cloud computing (AWS, Azure, or GCP).
  • Computer vision/image processing.
  • Rolling out models into production/devops.

Will be a strong plus:

  • Software development and optimization.
  • Antifraud, KYC, anomaly detection systems, predictive modeling.
  • Implementing algorithms from research papers.
  • Bachelor’s or Master's degree in computer science, applied mathematics, statistics, machine learning, etc.
  • 2+ years work experience in fintech.
  • Creative problem solver.
  • Integrity and high ethical standards.

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