Role: Algorithmic Forex & Crypto Trader
Location: Remote
Venture Search is partnered with a leading proprietary trading firm with just under 10 years of experience that is based in Latvia, specializing in making crypto markets more efficient and liquid. The firm is currently seeking an Algorithmic Trader with a background in Forex and Crypto., to assist in optimizing and creating trading strategies. The firm is known for its robust infrastructure, institutional-grade trading systems, and deep liquidity access across both traditional and digital markets. With a collaborative culture and strong internal resourcing, traders are empowered to scale their strategies quickly and sustainably.
You’ll be joining a firm that actively deploys capital across 30+ venues globally, with a proven track record of building successful high-frequency strategies. This is a rare opportunity to plug into a more structured, stable environment — one where you’ll have the tools, mentorship, and capital required to drive meaningful PnL from day one.
The role
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Develop and refine algorithmic trading strategies focused on Forex and digital assets, targeting short-term inefficiencies across global venues.
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Create and optimize forecasting models and execution logic to improve trading outcomes and minimize transaction costs.
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Take full ownership of the Forex trading process — from data ingestion and pricing logic to live execution and performance monitoring.
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Work closely with internal teams to enhance systems for currency risk management, cross-border flows, and custom settlement mechanisms.
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Conduct in-depth analysis of trade performance, slippage, and venue behavior to improve capital efficiency and strategy robustness.
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A proven background (5+ years) in systematic or quantitative trading, ideally within Forex or low-latency environments.
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Hands-on experience with automated execution in OTC or fiat markets, with a solid understanding of pricing and liquidity dynamics.
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Strong knowledge of currency markets, including both major and less-liquid pairs, and how to extract edge from diverse data sources.
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Demonstrated ability to manage significant daily trading volumes, with a clear track record of generating consistent returns.
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Deep technical proficiency, particularly in Python, with the ability to build, test, and maintain production-level code.
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A data-driven thinker who can break down performance metrics and continuously iterate on strategy components to improve outcomes.