Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
Compensation
Broadband Salary Range: $64,000 – 106,000
Our typical hiring range is between $90,000 and $95,000.
Responsibilities
Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
Deploy new models and track day-to-day scoring activities, addressing system or procedural issues as needed
Monitor effectiveness of all statistical models and recommend appropriate course of action
Perform optimization analysis and build supporting component predictions
Requirements
University degree in Statistics, Actuarial Science or Mathematics
Lead the design, build, and delivery of cloud-native applications and services across consumer engagement and digital experience platforms
Responsibilities
Lead the design, build, and delivery of cloud-native applications and services across consumer engagement and digital experience platforms
Define technical approaches and architecture for new capabilities, ensuring solutions are scalable, secure, resilient, and operationally efficient
Design the consumer data foundations powering personalization, activation, experimentation, and AI
Work with consumer and behavioral data to enable segmentation, personalization, activation, and real-time consumer experiences while maintaining appropriate privacy, consent, security controls and regulatory requirements
Take systems from prototype to production: recommendation engines, predictive models and intelligent automation used by real consumers at scale
Requirements
Nice to have: AI-enabled systems from proof-of-concept to production workloads
The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts’ AI solutions, owning the how, execution, and by-when for AI initiatives across the enterprise.
Compensation
The base pay range for this position is $187,500 - $229,100 per year.
Responsibilities
Own the technical how and the delivery timeline for AI initiatives
Architect and build scalable, interoperable, responsible AI solutions
Serve as a trusted technical partner across groups and projects
Translate business and customer needs into technical requirements
Lead the technical evaluation of new AI technologies and vendors
Requirements
Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent experience
Collect and compile environmental data from samples of water, sludge, and other matrices for analysis
Study water cycles and determine influence of weather and other environmental forces
Maintain quality control standards and procedures for accurate and precise measurements
Assist with performing basic professional water resources engineering work relating to water supply/quality/management, stormwater facilities, irrigation facilities, culverts, hydrology, open channel hydraulics, bridge hydraulics, floodplain modeling/mapping, hydrologic/hydraulic modeling, canal development, river/stream/habitat restoration and fish passage, waste disposal, pollution control and treatment
Verify site characteristics and provide entry-level technical assistance on various environmental issues
Requirements
Bachelor’s Degree in Civil or Environmental Engineering, with a focus in Water Resources or closely related discipline
Nice to have: Engineer in Training Certification
Nice to have: prior internship related to the degree of study and the specific engineering discipline
Nice to have: membership in local professional practice organizations
Lead enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Compensation
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position.
Responsibilities
Lead the enterprise procurement risk, audit, and compliance strategy
Establish a procurement risk-management framework
Lead the integration of Future-State AI tools
Drive the PRAC 2026-2028 capability roadmap
Implement continuous AI-led monitoring
Requirements
Bachelor’s degree in business, supply chain, finance, accounting, law, risk management, or a related field
Lead the enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Responsibilities
Lead the enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Establish a procurement risk-management framework covering identification, assessment, mitigation, monitoring, escalation, and reporting.
Lead the integration of Future-State AI tools (AI Risk Intelligence, Predictive Models, Monitoring Agents, and Copilot-Enabled Insights) to automate and optimize risk and compliance functions.
Drive the PRAC 2026-2028 capability roadmap, shifting functional maturity from foundational monitoring to an “Anticipate & Orchestrate” (Risk), “Automate & Optimize” (Audit), and “Predict & Prevent” (Compliance) state.
Implement continuous AI-led monitoring to shift compliance controls from detective to preventive, reducing recurring issues and enabling early identification of compliance weaknesses.
Requirements
Bachelor’s degree in business, supply chain, finance, accounting, law, risk management, or a related field; advanced degree preferred.
Lead the enterprise procurement risk, audit, and compliance strategy, translating priorities into effective governance, controls, and assurance plans.
Establish a procurement risk-management framework covering identification, assessment, mitigation, monitoring, escalation, and reporting.
Lead the integration of Future-State AI tools (AI Risk Intelligence, Predictive Models, Monitoring Agents, and Copilot-Enabled Insights) to automate and optimize risk and compliance functions.
Drive the PRAC 2026-2028 capability roadmap, shifting functional maturity from foundational monitoring to an “Anticipate & Orchestrate” (Risk), “Automate & Optimize” (Audit), and “Predict & Prevent” (Compliance) state.
Implement continuous AI-led monitoring to shift compliance controls from detective to preventive, reducing recurring issues and enabling early identification of compliance weaknesses.
Quantitative Researcher to aid in alpha generation, research, development, and maintenance of analytics infrastructure for the global commodities trading team.
Responsibilities
Developing systematic trading strategies and alpha generating signals across commodity markets
Enhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading
Analyze large, diverse datasets to identify trends as well as building and maintaining models to support trading decisions. Including the use of AI and LLM’s
Extract and organize data from a number of source options, performing quantitative analysis in support of trading
Assist in the development of analytical tools
Requirements
Bachelor's in mathematics, statistics, physics, engineering, computer science or related field
Master's in mathematics, statistics, physics, engineering, computer science or related field
PhD in mathematics, statistics, physics, engineering, computer science or related field
Develop and maintain analytical workflows for multivariate process monitoring, predictive modeling, and anomaly detection on high-dimensional process data, building AI-enabled tooling and data systems.
Compensation
The annual base pay (or hourly rate of compensation) for this position ranges from $101,643.20 - $152,464.80.
Responsibilities
Support statistical analysis for comparability assessments (site transfers, significant process changes), process characterization, and control strategy development for cell therapy programs
Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and support defensible regulatory narratives
Design and analyze DOE studies for process characterization and LVV manufacturing, including risk-based parameter selection and interaction modeling
Support process and product characterization for early development activities
Develop and maintain process monitoring workflows for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
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