{"id":988866,"url":"https://alion.io/job/isam-quantitative-research-phd-graduate","title":"Quantitative Research - PhD Graduate","company":{"id":707053,"name":"ISAM","domain":"isam.com","url":"https://alion.io/company/isam","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":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Early Careers","role_family":"Early Careers","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"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":64000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":68},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-07-29T12:29:53Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-21T08:37:20Z","board_verified":true,"closed_at":null,"days_open":83,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":83},"description":"iSAM is an innovative, financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities.\niSAM Securities regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group’s bank Prime Brokers.\niSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios.\nAbout the Role:\nWe have a Quantitative Research role available within the Quantitative Research function of iSAM Funds, for PhD graduates in their final year of their Econometrics or Economics course who have strong quantitative ability.\nNo prior industry experience is required-only intellectual curiosity, strong analytical ability, and a genuine eagerness to learn.\nAs an PhD graduate, you will be fully embedded within your team and contribute meaningfully to live research and trading initiatives. The role is research-focused and involves applying advanced statistical and mathematical techniques to develop and evaluate quantitative signals and strategies.\nResponsibilities:\nYou will work as part of a collaborative research team, tackling complex and intellectually challenging problems. Responsibilities may include:\nAssisting in the research and development of systematic investment strategies\nAnalysing large and complex financial datasets to identify signals, patterns, and risk characteristics\nDesigning, implementing, and testing quantitative models using Python and relevant numerical and statistical libraries\nDocumenting research methodologies and results, and presenting findings to senior researchers\nCollaborating closely with portfolio managers, quantitative researchers, and technologists\nQualifications\nPhD student in Econometrics or Economics with expected completion in 2026 or 2027\nStrong foundation in statistics and probability theory\nStrong programming skills in Python\nExperience handling large datasets\nA strong interest in financial markets and systematic trading\nPersonal Attributes\nHighly analytical, with a strong sense of ownership and accountability\nEnjoys tackling complex problems\nCollaborative and able to work effectively with researchers, technologists, and traders\nClear and concise communicator, both verbally and in writing\nComfortable working independently while knowing when to seek input from others\nKey Objectives\nDeveloped a strong understanding of how quantitative research is conducted within a live trading environment\nContributed tangible research that informs or enhances existing trading strategies or research directions\nDemonstrated the ability to translate complex mathematical or economic ideas into robust well-tested code\nGained hands-on experience working with large-scale financial data and research infrastructure\nBuilt an understanding of the full research lifecycle, from idea generation and data analysis through to validation and presentation\nEstablished effective working relationships within their team, contributing proactively and collaboratively to shared objectives\nStrengthened problem-solving, communication, and technical skills in a fast-paced, intellectually rigorous 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