{"id":985001,"url":"https://alion.io/job/verition-fund-management-technology-operational-effectiveness-analyst","title":"Technology Operational Effectiveness Analyst","company":{"id":704909,"name":"Verition Fund Management","domain":"verition.com","url":"https://alion.io/company/verition-fund-management","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-25T02:01:54Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-15T18:12:28Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Firm Overview\nVerition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Fixed Income & Macro, Event & Multi-Asset RV, Equity L/S & Capital Markets, and Quantitative Trading.\nDepartment Overview\nThe Technology and Strats (Quant) teams build and operate the engineering platform behind the firm's investment activity and business functions globally. Working alongside the investment teams to create edge in research, portfolio construction, execution and risk management, and applying machine learning and AI across both the investment process and the firm's platform operations. Strategic Analytics (\"Strats\"), with its quantitative researchers and developers, partner directly with Portfolio Managers and the businesses on strategy-specific research, models, signals, backtesting and execution, while building the shared pricing, analytics and research infrastructure used across strategies. The core Technology teams own the firm's market, reference and alternative data platform; the infrastructure including cloud, compute, developer tooling, security and connectivity that everything at the firm runs on.\nRole Overview\nVerition's technology team supports seven investment strategies and the enterprise functions behind them. This role exists to continuously evaluate how effectively the technology organization is operating and identify actions that improve delivery, reliability, efficiency, unit economics, and AI leverage across the estate.\nReporting to the Technology COO, this individual will work across the entire technology function to identify where time, cost, and quality are being lost, quantify the impact, and deliver recommendations with clear ownership and measurable outcomes. This is not a reporting-focused role; AI generates the reporting layer, allowing the individual to focus on analysis, judgment, and driving change.\nResponsibilities\nOwn the engineering intelligence stack, including delivery velocity, software reliability, service performance, onboarding effectiveness, and AI-assisted development metrics.\nDevelop and maintain live unit economics across technology, including cost per pod, workload, transaction, and AI workflow.\nAnalyze consumption spend across AI inference, cloud infrastructure, and market data platforms.\nIdentify structural inefficiencies, quantify their impact, and drive remediation efforts to closure.\nProvide recommendations across the technology organization, including prioritization, sequencing, approval, and rejection decisions supported by measurable outcomes.\nConduct internal and external benchmarking of technology platforms, tooling, services, and operating practices.\nDetermine where instrumentation and measurement provide actionable decision-making value and avoid unnecessary reporting.\nBuild and leverage AI-driven agents, pipelines, and automation to collect, reconcile, and synthesize technology data.\nUtilize AI tools to generate reporting and briefing materials, allowing focus on analysis and strategic decision-making.\nPartner closely with engineers, Vertical COOs, and technology leaders to build trust, communicate findings, and drive adoption of recommendations.\nPresent analyses and recommendations clearly, concisely, and with defined ownership and expected business impact.\nQualifications\n2-4 years of experience at a top-tier strategy consultancy or a quantitative analytical background in engineering, the sciences, or quantitative research within a leading financial services organization.\nStrong proficiency in Python.\nExperience working with telemetry, logs, cost data, APIs, dashboards, and operational technology metrics.\nDemonstrated analytical and quantitative problem-solving skills, with the ability to size opportunities, defend assumptions, and evaluate tradeoffs.\nAbility to identify meaningful metrics and translate analysis into actionable recommendations.\nExperience leveraging AI tools, automation, or agents to improve workflows, generate insights, and increase operating efficiency.\nStrong communication and stakeholder management skills\nAbility to challenge and defend positions through data-driven reasoning while remaining open to alternative perspectives.\nFinancial services experience is beneficial but not required.\nCuriosity about technology platforms and how trading systems operate.\nDemonstrated track record of ownership and execution.\nExcellent written and verbal communication skills.\nHigh level of intellectual curiosity, strong work ethic, and keen attention to detail.\nAbility to work effectively in a team-oriented, fast-paced, and dynamic environment.\nThe annual base salary range for this position is $80,000 to $140,000 (USD). In addition to base salary, this position is eligible for a discretionary performance bonus and a comprehensive benefits package. Actual compensation offered to the successful candidate will be determined based on a variety of factors such as geographic location, work experience, qualifications, and skill level. \nSalary Range\n$80,000—$140,000 USD","description_format":"text","description_chars":5105,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-09-16T23:19:24Z"}],"visa":[],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.697,"p_room":0.6,"age_days":51,"expected_fill_days":60,"reasons":["conf:3","win:late","crowd:junior"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":true},"html_url":"https://alion.io/job/verition-fund-management-technology-operational-effectiveness-analyst","json_url":"https://alion.io/job/verition-fund-management-technology-operational-effectiveness-analyst.json","meta":{"generated_at":"2026-10-15T20:50:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31604,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":704909},"rest":"https://alion.io/mcp/rest/get_company?id=704909"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fverition-fund-management-technology-operational-effectiveness-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fverition-fund-management-technology-operational-effectiveness-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fverition-fund-management-technology-operational-effectiveness-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/verition-fund-management-technology-operational-effectiveness-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fverition-fund-management-technology-operational-effectiveness-analyst"}]}