{"id":1639142,"url":"https://alion.io/job/jain-global-equity-derivatives-risk-developer","title":"Equity Derivatives Risk Developer","company":{"id":707050,"name":"Jain Global","domain":"jainglobal.com","url":"https://alion.io/company/jain-global","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","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":"2026-10-03T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","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":{"min":150000,"max":170000,"currency":"GBP","period":"year","gross":null,"usd_annual":224974},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-01T21:44:12Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-01T12:22:37Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description:\nQuantitative Developer - Risk Technology\nPosition Overview\nWe are seeking a strong software engineer to build and own the equity-volatility risk platform for our global hedge fund. This engineering-first role owns the systems that capture options, futures, swaps and cash equity positions, compute the full volatility greek surface across every book, and deliver exposure and limit information to volatility PMs and risk managers in near real time. Working alongside the quantitative analysts and researchers who own the vol models and beta framework, the engineer makes those models run correctly, fast, and reliably at firm scale - turning per-book risk snapshots into clean, aggregated, drill-downable exposure PMs trust every trading day, across low-latency services, large-scale data pipelines, distributed compute, and the APIs and interfaces on top of them.\nKey Responsibilities\nPlatform and Systems Engineering\nDesign, build, and own the firm's risk calculation and exposure aggregation services, from position capture through to delivered risk numbers.\nDevelop real-time and intraday risk monitoring systems, including limit frameworks, breach detection, alerting, and drill-down interfaces.\nBuild well-documented APIs and services (REST/gRPC, streaming) that expose risk data to downstream consumers across the firm.\nDeliver front-end tooling and dashboards that let risk managers slice exposure by strategy, desk, asset class, factor, and counterparty.\nRefactor and modernize existing risk processes, replacing batch, spreadsheet, and manual steps with tested, version-controlled services.\nData Engineering and Integration\nBuild resilient pipelines for positions, trades, market data, reference data, and counterparty exposures, with automated validation, lineage, and reconciliation.\nOwn time-series and analytical data stores supporting historical risk, stress replays, and time-travel queries.\nEnsure consistency of pricing, position, and P&L data between risk systems and Front Office and Finance platforms.\nAnalytics Delivery\nProductionize risk models supplied by Risk Management and Research\nTranslate research prototypes into performant, tested, maintainable production code with clear numerical validation.\nBuild the tooling that lets model owners backtest, recalibrate, and compare model versions without engineering involvement.\nMaintain pricing and sensitivity (Greeks) infrastructure and the libraries that risk and valuation both depend on.\nReliability, Performance, and Operations\nOwn the reliability of risk systems end to end: monitoring, alerting, runbooks, on-call, and incident follow-up.\nProfile and optimize hot paths - vectorization, caching, concurrency, memory layout, and distributed or grid compute workloads.\nMeet hard daily deadlines for overnight and intraday risk production, with automated recovery and clear failure semantics.\nBuild out CI/CD, automated testing, infrastructure as code, and release processes for a platform that cannot silently produce wrong numbers.\nCollaboration\nPartner with Risk Managers and Portfolio Managers to turn requirements into shipped software.\nWork closely with Front Office quant and trading technology teams on shared pricing, position, and market data infrastructure.\nCollaborate with enterprise IT, data, and platform teams on cloud, networking, security, and compute capacity.\nTechnical Leadership\nSet engineering standards for the risk stack: code review, testing, documentation, and architectural direction.\nMentor junior developers and raise the bar on delivery quality across the team.\nEvaluate new technologies pragmatically and lead their adoption where they earn their keep.\nQualifications\nSoftware Engineering (Primary)\n5+ years building and operating production systems, with deep expertise in Python and at least experience in one systems language\nStrong grounding in distributed systems, concurrency, service design, and API design; you have owned systems in production, not just written code for them.\nSolid engineering discipline: automated testing, code review, CI/CD, observability, and infrastructure as code.\nComfortable with performance work - profiling, benchmarking, and reasoning about latency and throughput rather than guessing.\nData and Infrastructure\nProficiency with SQL and analytical or columnar stores\nExperience with streaming and messaging systems (Kafka, Redis, or equivalent) and workflow orchestration (Airflow, Dagster, or in-house schedulers).\nHands-on experience with containers, Kubernetes, and at least one major cloud platform, alongside grid or distributed compute frameworks.\nTrack record handling large-scale data volumes where correctness and timeliness both matter.\nDomain Knowledge\nExperience at a hedge fund, asset manager, investment bank, or similar institution, ideally supporting risk, valuation, or front-office systems.\nWorking familiarity with multi-asset instruments and derivatives, and with how risk is measured and monitored in practice - VaR, stress testing, sensitivities, limits, margin, and financing.\nYou do not need to derive the models, but you should be able to read them, reason about their inputs and outputs, and spot when a number looks wrong.\nEducation\nBS/MS in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field. An advanced degree is welcome but strong engineering experience matters more.\nSoft Skills\nPragmatic problem solver with high standards for correctness and attention to detail under time pressure.\nClear communicator, able to work directly with risk managers and traders and translate between business need and technical design.\nSelf-motivated, proactive, and comfortable owning systems in a demanding, fast-moving environment.\nWhy Join Us\nOwnership: Take end-to-end responsibility for platforms the firm relies on every trading day.\nProximity to the Business: Sit with risk managers and portfolio managers; see the impact of your work immediately.\nEngineering Depth: Hard problems in latency, scale, and correctness, on modern infrastructure with real budget behind it.\nGlobal Exposure: Operate within a world-class organization spanning multiple regions, asset classes, and markets.\nCareer Development: Join a firm that values expertise, initiative, and innovation, with opportunities for growth and leadership.\nLocation: London\nCompensation:\nJain Global offers a total compensation package which includes a base salary, discretionary bonus, and comprehensive benefits. The estimated base salary range for this position is £150,000- £170,000 which is specific to London and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.\nWe are an Equal Opportunity Employer\nAs an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance. We believe an inclusive environment can yield exceptional contributions.","description_format":"text","description_chars":7109,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-10-01T21:44:12Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":46,"reasons":["conf:32","velocity","win:early"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":224974,"is_top_pay":true},"html_url":"https://alion.io/job/jain-global-equity-derivatives-risk-developer","json_url":"https://alion.io/job/jain-global-equity-derivatives-risk-developer.json","meta":{"generated_at":"2026-10-04T01:38:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2116,"day_limit":5000,"remaining_today":2884,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}