LATOKEN Digital Wallet is growing 35-100% per month on the multibillion money users worldwide market. We made financial account opening as easy as on Instagram. Yet, there are more people who need to manage money rather than photos. We will be bigger than the social wallet.


Role:
Trading Desk Bots Liquidity Lead
Unit: Trading Desk

Mission:
Make LATOKEN market leader in liquidity by providing full technical support aiming to: 1) Maximizing liquidity (ex.: ability to buy 10k $ of any asset without any slippage) 2) Minimizing cost of liquidity spends 3) Best client's order execution timings.

Main performance number: Liquidity score
Second performance number: Commission spent on leveraging the liquidity
Third performance number: Customer order success

Functions:
• Team leadership :
Develop, maintain high performance, train and motivate the team.
• Vision :
Work with engineers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every sprint and quarter.
• R&D :
Research and develop new market making, hedging, trading strategies and algorithms, software solutions across research, alpha & signal generation, systematic and non-systematic trading, that will allow to be number one by liquidity at the same time not to spend on commission or lose due to price movements.
• Liquidity :
Develop and support liquidity algorithms and strategies with 0 risk of loss and spending much on commission at liquidity providers.
• ETL :
Build automated extract-transform-load pipelines to support rapid but controlled transition from research to live trading.
• Metrics & monitoring :
Design, maintain, improve and monitor main metrics for overall system monitoring to detect problems before our clients will. Report on incidents.

Requirement skills and experience:
Experience in market-making, algo-trading, hedging algorithms and strategies, exceptional quantitative and analytical skills.
5+ years of development with Java and/or C++ and/or C# in high-load, low-latency and high throughput environments.
Experience with Python, advanced knowledge of data science stack (Pandas, NumPy, SciPy).
Degree qualified in Computer Engineering / Math / Finance or quantitative discipline Proficiency with PostgreSQL at scale, ability to write performant SQL queries, experience with NoSQL solutions.
Experience with Kafka/RabbitMQ, Redis, microservice architecture, unit and integrational testing.
Strong work ethics, transparency, result oriented.
Additional advantages:
Familiarity with CI/CD, Docker, kubernetes.
Understanding of Machine Learning, Platform Development, Networking, System Design.
Experience in matching engines or options or margin or futures trading.

Reward:
• We give proof that a teammate's life made an impact - LATOKEN share in Nasdaq index and millions in your pockets from vested options.
• Breakthrough technology and Product - Market - Timing Fit.
• Worldwide multibillion users market.
• 2x traders growth CAGR and 4.7 Google play rating.
• Multibillion worldwide market.
• Join us to build the first digital exchange wallet with a billion users.

Feel a great fit - apply now or forward to a great candidate.