{"id":2566365,"url":"https://alion.io/job/deepfinresearch-hft-quantitative-research-and-trading","title":"HFT Quantitative Research and Trading","company":{"id":4416385,"name":"Deepfinresearch","domain":"deepfinresearch.com","url":"https://alion.io/company/deepfinresearch","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","London, United Kingdom","New York, United States"],"countries":["IN","GB","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2025-10-30T16:33:38Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-30T15:11:54Z","board_verified":true,"closed_at":null,"days_open":364,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":363},"description":"DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.\nOur team is lean, highly technical, and impact-driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.\nHFT Quantitative Research and Trading\nThe Role\nWe are looking for exceptional HFT Quantitative Researchers and Traders to work at the intersection of research, engineering, low-latency execution, creating alpha and monetising our deep-learning alpha alpha across a broad spectrum of markets, products, and asset classes.\nKey Responsibilities\nMonetise core alpha through efficient execution strategies across futures and related products.\nExpand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges. \nDevelop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.\nCollaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.\nDesign and test short-term signals and execution algorithms to preserve alpha and reduce transaction costs.\nMonitor live strategies, diagnose performance drift, and implement continual improvements.\nConduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.\nStay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics and market impact dynamics.\nIdeal Candidate Profile\n5+ years of experience in HFT or ultra-low-latency trading, ideally within futures markets (options experience is a strong plus).\nProven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.\nDeep understanding of L3 data, market microstructure, order book dynamics, and short-horizon predictive models.\nHands-on experience in strategy deployment and productionisation, including calibration, risk controls, and post-trade analytics.\nStrong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low-latency systems advantageous.\nKnowledge of cross-exchange arbitrage, market making, or execution cost optimisation a plus.\nHighly analytical, commercial mindset with the ability to operate autonomously in a fast-paced, research-driven environment\nIf you’re passionate about applying advanced technology to real-world markets and want to work alongside a focused, high-performing team, we’d love to hear from you. 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