{"id":2566359,"url":"https://alion.io/job/deepfinresearch-graduate-quantitative-developer","title":"Graduate Quantitative Developer","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":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","New York, United States"],"countries":["GB","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":106000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"STL","optional":false}],"status":"live","first_seen_at":"2025-12-22T10:00:45Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-15T20:36:25Z","board_verified":true,"closed_at":null,"days_open":297,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":296},"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.\nJunior Quant Developer - Backtesting, Simulation & Research, Productionise Research (C++/Python)\nRole Overview\nWe’re hiring a junior Quant Developer to help productionise research into robust, high-performance trading systems. You’ll work closely with Quant Researchers and senior engineers to convert Python research code into production C++, build and optimise backtesting / simulation infrastructure, and support strategy development using L3 market data across multiple venues.\nThis is a hands-on, engineering-heavy role in a fast-moving environment: you’ll own components end-to-end and contribute directly to research velocity and trading PnL.\nKey Responsibilities\nProductionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.\nBacktesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).\nL3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.\nPerformance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).\nResearch support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.\nDebugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.\nCross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.\nRequirements\nEducation: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.\n0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++\nStrong working knowledge of C++ (memory, ownership, STL, performance-aware coding).\nExperience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).\nComfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).\nExposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.\nClear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.\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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