HFT Trader/Market Maker (New York/Taipei/ Remote)
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- High-Frequency-Trading, Crypto-Trading, Quantitative-Trader, Market-Maker, Algorithmic-Trader, Senior-Quantitative-Trading-Strategist, Trading-Strategy-Lead
- Source
- himalayas
- First observed
- 2026-08-29 23:17 UTC
- Last seen
- 2026-08-29 23:17 UTC
- Source claims posted
- 2026-08-29 23:01 UTC
- Consecutive misses
- 1 of 10
What the posting says
We are a leading full-stack, high-frequency proprietary trading firm strategically located in New York and Taipei. Our company is equipped with a proprietary, latency-sensitive trading system, state-of-the-art trading algorithms, and a highly efficient execution platform designed to optimize trading strategies across various asset classes. Moreover, we maintain comprehensive access to major exchanges worldwide, allowing us to execute complex trades efficiently and at scale. This global reach, combined with our technological expertise, positions us at the forefront of the financial trading industry.
About the Role:
In this role, you will apply quantitative research, statistical modeling, and execution-focused engineering to identify and capture trading opportunities across crypto markets. You will work directly with live market data, design and deploy automated trading strategies, and take ownership of strategy performance and P&L outcomes.
Responsibilities:
Conduct in-depth research on centralized exchange (CEX) and decentralized exchange (DEX) market data, including order books, trade flows, and on-chain signals.
Design, implement, and deploy algorithmic trading strategies into live production environments.
Own strategy lifecycle from research to execution, including continuous iteration based on live P&L and risk performance.
Expand automated trading systems into new crypto products, venues, and liquidity pools; optimize execution quality and capital efficiency.
Monitor and report daily market conditions, portfolio exposure, risk metrics, and P&L performance.
Perform post-trade analysis to evaluate strategy effectiveness, identify inefficiencies, and improve risk-adjusted returns.
Collaborate with engineering and trading teams to enhance infrastructure, latency, and execution systems.
Requirements:
Proven track record of developing and deploying profitable trading strategies in crypto markets.
Demonstrated history of building trading strategies from 0-1, with measurable P&L outcomes or strong performance evidence.
Strong understanding of crypto market structure, including CEX/DEX mechanics, liquidity behavior, and volatility dynamics.
Experience with short-horizon, high-frequency, high-turnover trading strategies.
Strong programming ability with hands-on experience in C++ or Rust (Python acceptable for research).
STEM degree from a top university or equivalent practical experience in quantitative trading or systems development.
General Requirements:
This role can be remote or based in our New York or Taipei offices. Candidates may work fully remote or in a hybrid/on-site setup depending on preference and team alignment.
Candidates should expect 2–3 rounds of coding tests, each lasting 2–3 hours.
Excellent written and spoken English, any other languages will be a plus.
Benefits:
Highly competitive salary
Semi-annual discretionary bonus
Relocation assistance if needed
Dedicated mentors to accelerate your growth
Fully stocked kitchen
Unlimited sick days
Friendly start-up working environment
20 days of PTO on an accrual basis
Team lunch / dinner
Gym subsidy
Breakfast catering
Opportunity to visit and work from our global offices
(For NYC candidates, 100,000 - 250,000 USD per year)
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#447946 2026-08-29 23:17 UTCPublished
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#450432 2026-08-29 23:43 UTCNot seenMiss 1 in a row