Quantitative Risk Analyst in the Private Wealth Investment Risk team.
Compensation
The salary range for this role is $95,000-$110,000.
Responsibilities
Work as an integral part of the Private Wealth Investment Risk team, taking up day-to-day coverage of several of the strategies/portfolio management teams
Maintain and run regular and ad hoc reports; provide support to various teams on risk and performance analytics issues
Translate academic and/or buy-side research into risk models, analytics, and methodologies that are implementable and actionable
Perform ex-ante and ex-post portfolio risk analysis, performance and attribution analysis, stress tests, and back tests
Stay connected and current with academic finance research and developments and present findings to team members
Requirements
Bachelor’s or master’s Degree in a quantitative field like Financial Engineering, Econometrics, Computer Science, Applied Mathematics, Statistics, or similar
Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Lead and manage a research team focused on global health burden studies, overseeing quantitative analysis, mentoring staff, and contributing to publications and grant proposals.
Locations (3)
Seattle, Washington, United States
Olympia, Washington, United States
United States
Compensation
Pay Range Minimum:
$120,000.00 annual
Pay Range Maximum:
$143,820.00 annual
Responsibilities
Supervise and mentor research staff
Design and conduct quantitative analyses
Develop computational and statistical methods
Lead training and presentations
Manage project timelines and deliverables
Requirements
Master’s degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline
The Data Performance Engineer is part of the engineering team responsible for conducting in-depth analysis of performance data from battery storage systems, focusing on delivering advanced analytical pipelines.
Locations (2)
United States
Canada
Compensation
$80,000 - $120,000 + annual bonus
Responsibilities
Collaborate with software developers, data engineers and system architects to deliver advanced analytical pipelines.
Analyse the performance of BESS, including downtime analysis, identifying under-performing areas and sub-systems, understanding system behaviour, and directing improvements and updates.
Evaluate key performance indicators (KPIs) such as BESS Storage Availability, Charge/Discharge Energy, RTE, and SoC.
Prepare and present reports (dashboards and presentations) for internal and external stakeholders.
Calculate major equipment unavailability and LDs, and reconcile with suppliers and owners.
Lead advanced analytics workstreams focused on core restaurant operations, guest experience, and business performance.
Compensation
A reasonable estimate of the current base pay range for this position is $133,000.00–$187,000.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors.
Responsibilities
Lead advanced analytics workstreams focused on core restaurant operations, guest experience, and business performance.
Develop and evolve Voice of the Guest analytics by integrating internal surveys, external restaurant reviews, Customer Care contacts, digital feedback, and other guest sentiment data sources.
Analyze structured and unstructured data using relevant analytical techniques, including natural language processing, clustering, regression modeling, classification, optimization, and other statistical or machine learning methods.
Synthesize insights across multiple datasets—including first- and third-party data—to identify trends, explain performance drivers, and uncover opportunities.
Influence key stakeholders across Operations, Digital, Marketing, Finance, and Restaurant Experience by connecting guest feedback insights to business decisions, strategic priorities, and measurable outcomes.
Requirements
Bachelor’s Degree in a quantitative, analytical, or business-oriented field
Master’s degree in relevant field
Senior Threat Engineer – AI-Powered Detection, Response & Continuous AI Red Teaming
Build AI‑powered detection and response capabilities, continuously red team defenses, and drive measurable outcomes in a high‑impact threat engineering role.
Compensation
Pay range: $137,000 – 190,600 depending on experience and skill set. Annual bonus target 10% subject to terms and conditions of plan.
Responsibilities
Engineer high‑fidelity detections across identity, endpoint, network, cloud, and SaaS with automated response paths
Apply AI and machine learning to triage, correlate, and enrich alerts at machine speed
Build autonomous and semi‑autonomous response playbooks that isolate hosts, revoke sessions and tokens, disable credentials, block infrastructure, and quarantine content
Implement guardrails for safe autonomy, including confidence thresholds, blast‑radius controls, human‑in‑the‑loop escalation, and rollback
Instrument detection and response for measurable outcomes such as mean time to detect, mean time to contain, false‑positive rate, and ATT&CK coverage