| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Remote | $16k - $30k | |||
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Crypto.com | Remote |
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Crypto.com | Remote |
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Keyrock | Brussels, Belgium | $28k - $72k | |||
Keyrock | Brussels, Belgium | $28k - $72k | |||
Crypto.com | Remote | $87k - $2k | |||
Crypto.com | Remote | $98k - $108k | |||
Crypto.com | Remote | $81k - $90k | |||
Kronos Research | remote | $28k - $33k | |||
Wintermute | Singapore, Singapore | $28k - $33k | |||
Wintermute | London, United Kingdom |
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Kronos Research | remote |
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This job is closed
About Crypto.com
Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. With over 10+ million users on its platform today, Crypto.com provides a powerful alternative to traditional financial services, turning its vision of "cryptocurrency in every wallet" into reality, one customer at a time. Crypto.com is built on a solid foundation of security, privacy and compliance and is the first cryptocurrency company in the world to have CCSS Level 3, ISO27001:2013 and PCI:DSS 3.2.1, Level 1 compliance. Crypto.com is headquartered in Hong Kong with a 2000+ strong team.
For more information, please visit www.crypto.com
Responsibility
- research/implement/analyse strategies based on tick-level/alternative data for spot and derivatives (future/swap/option)
- Monitor live strategy performance/debug issues/post trade analysis
- Perform data integration and cleaning (identifying outliers)
- Applies machine learning techniques such as feature selection/transformations/normalisation to explore and evaluate alphas
- Be proactive by applying cutting-edge ideas and models derived from research papers
- Previous experience in trading firm/hedge fund/investment bank
- Fresh master/PHD graduates are welcomed
- Cryptocurrency trading experience
- Masters/PhD in Physics/Maths/Applied Maths/Statistics from top schools
- Excellent python
- Very good math/probability background
Technical must-haves:
1. Predictive machine learning implementations (tensorflow / xgboost/ sklearn)
2. Scientific python (pandas, numpy)
3. Unix scripting, Automation scripts
4. Git
Technical good-to-haves : Flask, Javascript, HTML, crypto exchanges connectivity /data download , SQL, Seaborn
- We offer an attractive compensation package working in a cutting-edge field of Fintech.
- Huge responsibilities from Day 1. Be the owner of your own learning curve. The possibilities are limitless and depend on you
- You get to work in a very dynamic environment and be part of an international team
- You will get to have involvement in developing brand new products from scratch using latest technologies alongside with a passionate and talented team