Baus Capital · 1 day ago
Senior Quantitative Researcher - HFT Crypto
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Responsibilities
Working alongside management to plan and develop research framework(s) for mid and high-frequency trading strategies.
Performing complex research tasks, reviewing data findings, and sharing relevant findings with the CIO.
Identifying ways to meaningfully improve on existing strategies and research infrastructure.
Exploring ways to make more efficient internal processes such as research, development, runtime, etc.,
Collecting data and building visualization and organization tools as requested by CTO and/or CIO.
Developing high-frequency trading strategies for live implementation.
Building pricing models for various derivatives markets.
Qualification
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Required
Candidate MUST have extensive experience in High-Frequency Trading
7+ years experience in financial markets.
Must be proficient in Python and ideally C++.
Must have prior experience developing, implementing, and successfully deploying trading algorithms.
Must have prior experience with low latency execution for high-frequency trading.
Must be an independant worker that requires minimal oversight, but be good working in a small team environment.
Strong quantitative research skills are needed.
Must be enthused about digital assets or already strongly immersed in the space.
Preferred
Experience running market making strategies is a plus.
Background in machine learning / reinforcement learning as it applies to financial markets is a plus.
Candidate with existing trading strategies is a plus.
Company
Baus Capital
Baus Capital is an algorithmic trading company that specialises in digital assets and offers trading algorithms, models, and research.