Lead the development, enhancement, and ongoing maintenance of counterparty credit risk models across multiple asset classes.
Compensation
The anticipated salary range for this role is between $189,000.00 and $195,400.00. The role may also be eligible for an annual discretionary incentive award.
Responsibilities
Lead development and maintenance of CCR models
Enhance PFE modeling frameworks
Drive analysis of new derivative products
Collaborate with Risk IT and quantitative infrastructure teams
Design and maintain stress testing scenarios
Requirements
Master’s degree in mathematics, statistics, or a related field
Senior Planning & Risk Engineer responsible for integrated scheduling, risk analysis, and project delivery for data center campus development.
Responsibilities
Build and own the integrated schedule
Develop, maintain and assure integrated Level 1-4 schedules covering design, permitting, procurement, construction, energization, commissioning, handover and Ready for Service (RFS).
Bring multiple project and contractor programs together into one coherent campus master schedule, with clear interfaces, milestones, logic and ownership.
Make sure every schedule is fully logic-linked, resource-aware where it matters, aligned with contractual obligations and backed by credible progress evidence.
Set up and maintain baselines, coding structures, calendars, WBS, schedule narratives and change-control records in Primavera P6 EPPM.
Requirements
Engineering degree or equivalent qualification in engineering, construction management, project management, quantity surveying or a related discipline
Nice to have: Professional certification such as AACE PSP, PMI-SP, PMI-RMP, PMP or PRINCE2
Nice to have: Formal training in Primavera P6, quantitative schedule risk analysis or forensic schedule analysis
Nice to have: Working knowledge of construction and commissioning logic for complex MEP and electrical infrastructure
Responsible for financial analysis, forecasting, and cost reduction for Niagara’s largest procured commodity, resin, supporting global procurement strategy.
Compensation
$102,975.75 - $149,314.86 / Yearly
Responsibilities
Assist with RFP/RFQ processes from a financial lens
Oversee all pricing related functions for the category
Create annual budget and present to senior leadership
Conduct ad-hoc financial analysis
Prepare weekly market commentary reports
Requirements
Bachelor's Degree in Business Administration or related field
Master's Degree in Business Administration or related field
Lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and behavioral modeling.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms
Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows
Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments
Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels
Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights
Requirements
Master’s degree or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field
This job will lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and causal inference.
Compensation
The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms.
Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows.
Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments.
Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels.
Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights.
Requirements
Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field
Lead quantitative modeling for residential mortgage and RMBS, developing and enhancing loan- and pool-level prepayment, delinquency, default, and loss severity models.
Compensation
$215,000.00 - $355,000.00
Responsibilities
Lead the research, design, development, calibration, and enhancement of loan- and pool-level mortgage models
Conduct empirical research on borrower behavior and mortgage credit performance
Build and maintain model-ready datasets
Apply statistical, econometric, machine learning, and cash-flow modeling techniques
Translate collateral-level projections into RMBS cash flows, valuation, and risk measures
Requirements
Master’s degree or Ph.D. in mathematics, statistics, physics, engineering, computer science, quantitative finance, economics, or another highly quantitative discipline
Internship focused on quantitative research in a trading environment, developing statistical models and machine learning techniques to identify trading opportunities.
Responsibilities
Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk
Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities
Work closely with traders and researchers to build and refine research infrastructure and tools
Lead technical development of structured finance credit models and provide hands‑on leadership to the Quant team.
Compensation
EUR 128,500.00-186,833.00
Responsibilities
Take hands‑on ownership of the design, implementation and enhancement of structured finance credit models.
Lead complex model and methodology development projects through to release, coordinating technical workstreams, dependencies, timelines and stakeholders across quantitative, ratings, review and Technology teams.
Develop, maintain and enhance proprietary Python and C++ modelling libraries.
Engage with rating analysts to understand analytical challenges and emerging market trends, and translate business needs into appropriate modelling approaches.
Lead the preparation of quantitative research papers and technical documentation supporting model development and methodology enhancements.
Requirements
Master’s degree in Mathematics, Engineering, Physics, Economics, Finance, Statistics, or a related quantitative discipline
Support the development and evaluation of warhead performance requirements through physics-based modeling, simulation, and engineering analysis.
Responsibilities
Perform lethality analyses to support the development and evaluation of warhead performance requirements for weapon systems.
Evaluate weapon effectiveness against specified target types under varying engagement conditions and weapon system constraints.
Develop and execute simulation scenarios using established lethality modeling tools, including BALAGAN.
Conduct parametric studies, sensitivity analyses, and Monte Carlo simulations to assess performance and identify key influencing factors.
Utilize Python and other analytical tools to process simulation data, evaluate results, and generate visualizations.
Requirements
Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, Mathematics, or a closely related technical discipline.
Nice to have: Master's degree in Engineering, Physics, Mathematics, or a related technical discipline.
Nice to have: 7 years of relevant experience in engineering analysis, modeling and simulation, or a related technical field.
Nice to have: Experience with six-degree-of-freedom (6DOF) trajectory modeling and simulation.
Nice to have: Understanding of warhead characteristics, terminal ballistics, fragmentation, blast effects, or penetration mechanics.
Project Controls Manager to support a centralized capital project oversight organization evaluating large-scale capital projects prior to funding and stage-gate approvals.
Compensation
Pay Range $82,550.00 - $149,225.00
Responsibilities
Perform independent project health assessments for capital projects progressing through formal funding and stage-gate approval processes.
Evaluate project readiness, maturity, and overall execution strategy during key project phases.
Review and analyze project controls documentation including cost estimates, schedules, risk registers, earned value management metrics, forecasts and contingency plans, and business cases.
Utilize project controls best practices to identify gaps, risks, concerns, and improvement opportunities.
Conduct schedule quality reviews utilizing tools such as Acumen Fuse or similar schedule diagnostics software.
Requirements
Bachelor’s degree in Engineering, Construction Management, Project Management, Business, or related field.
Nice to have: Utility industry experience supporting generation, transmission, distribution, nuclear, or major infrastructure projects
Nice to have: Experience with large industrial capital projects in energy, oil & gas, petrochemical, manufacturing, or heavy construction environments
Nice to have: Hands‑on field experience supporting project execution, construction, commissioning, or project controls activities
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