About Eleven Recruiting
We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place.
Our client, a leading investment firm, is seeking a Senior Quant Engineering Lead to join their team in El Segundo, CA!
The ideal candidate will provide end-to-end engineering ownership across the asset modeling and SRE forecasting lifecycle - from source data and quantitative analytics through risk runs, asset and derivatives hotfile production, and SRE forecasts.
Responsibilities:Data Engineering and Quality-
Own data ingestion, transformation, reconciliation, and delivery across analytics, hotfiles, and forecasting.
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Establish controls for data completeness, accuracy, timeliness, lineage, and consistent reporting cutoffs.
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Drive resolution of missing positions, inconsistent balances, and other data breaks with source-system owners and business stakeholders.
Quantitative Analytics and Risk Platforms-
Own the engineering implementation and production execution of ALPS and AAP analytics supporting underlying asset and risk models.
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Partner with quants to translate model methodologies, calculations, and assumptions into reliable production solutions.
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Establish version control, testing, validation, and release controls for analytical code, model configurations, and assumption changes.
Hotfile Production and SRE Forecasting-
Own production processes and delivery of asset and derivatives hotfiles and forecasts used in SRE modeling.
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Reconcile forecast starting positions to hotfiles and actuals, and investigate material differences in forecast results.
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Maintain configurable assumptions and scenarios, automated handoffs, and reproducible runs with traceable inputs and outputs.
Platform and Grid Operations-
Own the reliability, capacity, performance, and orchestration of the compute grid and analytics execution platform.
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Establish infrastructure and job-level monitoring to detect failed, stalled, or incomplete runs and support timely recovery.
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Lead platform modernization, scalability, and disaster recovery in partnership with infrastructure teams, including tested backup, restore, and recovery procedures.
Production Controls and Support-
Establish automated input and output checks, regression testing, reconciliation tolerances, and exception management across the lifecycle.
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Own production readiness, release management, incident response, root-cause resolution, and operational documentation.
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Define delivery expectations, support coverage, and escalation paths to ensure timely analytics, hotfiles, and SRE forecasting results.
Engineering Leadership and AI Adoption-
Set the engineering roadmap and common standards across data, analytics, risk, and forecasting.
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Guide Gemini Solutions financial engineers responsible for data pipelines, execution platforms, quality checks, and daily operations.
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Apply AI-assisted engineering and automation to improve development, testing, diagnostics, and support, with appropriate validation and controls.
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Partner with quants, risk, finance, data, and infrastructure stakeholders to prioritize work and resolve dependencies.
Success Measures:-
Accurate and timely delivery of analytics, hotfiles, and SRE forecasts.
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Reconciled, traceable data and reproducible production runs.
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Fewer manual handoffs, recurring incidents, and unresolved quality issues.
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Reliable grid performance, tested recovery capabilities, and clear operational accountability.
Pay Rate: $100 - $120/hr
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