Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure
Build evals that measure safeguard efficacy on both false and true positives, using datasets from customer reports, adversarial testing and production traffic
Work closely with our Security team: turn their adversarial findings into eval cases and fixes, and build mitigations together that hold when detection misses
Select, integrate and fine-tune detection models within a stack shared by our commercial and government environments
Balance quality, latency and cost for controls that run in the request path
A key privacy engineer writing code and shaping the architecture and protections across products, focusing on sensitive data detection, masking, and assessing privacy risks of ML models.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Assess, benchmark and select ML models and techniques that meet privacy requirements
Own the implementation of models from prototype through production
Build and deploy sensitive data detection, masking, redaction and tokenization
Build privacy evaluations for ML models (memorization, training-data extraction, membership inference)
Write and maintain code enforcing customer requirements for data use, access, retention and deletion
Requirements
Nice to have: Differential Privacy
Nice to have: Privacy-enhancing technologies
Nice to have: Privacy engineering for agentic systems
The Business Analytics role supports multiple customer groups and/or therapeutic areas & will be an expert in statistical methodologies for measuring marketing impact.
Responsibilities
Conducting and interpretation of advance analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis)
Supporting brand planning/field force evolution/non-personal digital/virtual activities and serving as inputs to the forecasting process
Conducts advanced analytics in support of brand planning and promotional resource allocation, resource allocation in customer channels including digital and evolution of commercial model
Liaises between Marketing and Sales in the development of business tactics and strategies
Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into delivered sales force call plans for both in person and virtual / non-personal digital, telephone plans etc.
Requirements
Bachelor's degree
Master's degree
Nice to have: Analyzing large, deidentified patient claims data sets
Nice to have: Metabolic therapeutic areas such as CardioRenal Metabolic (e.g. Chronic Kidney and Hearth Failure)
This role helps in ensuring security quality and operational readiness of PCG (Product Cybersecurity Group) products before deployment to market and maintaining alignment to cybersecurity goals throughout the product lifecycle in efforts to meet the customers' goals.
Responsibilities
Performing technical review assessment of products to identify potential risks
Documentation of, and Confirmation of countermeasures for risk reduction of identified items
Documentation of post-launch remediation plans as necessary
Develop and maintain risk communication materials for product management for new product launches
Execute of Product Cybersecurity Resilience processes for Launch Readiness activities
Requirements
Bachelor’s degree (or higher) in Electrical or Computer Engineering, Information Security, or related
Lead the development of pricing, credit-risk and portfolio-management solutions across Business and Commercial Banking, combining quantitative modelling with modern software-development practices.
Compensation
£95,418 to £106,020
Responsibilities
Own the methodology and lead the software implementation of Return on Risk Adjusted Capital models supporting the origination and pricing of commercial lending products.
Build production-quality solutions for loan pricing, portfolio management, capital allocation, forecasting and credit-risk analytics.
Develop reusable, well-documented and tested analytical code, applying version control, peer review and robust model-development standards.
Use Python, C#, and SQL to work with large datasets, automate analytical processes and improve the efficiency and control of existing tools.
Lead the application of advanced statistical and machine-learning techniques to identify growth opportunities, support client acquisition and deepen client relationships.
Requirements
Postgraduate qualification, or equivalent experience, in mathematics, statistics, physics, quantitative finance or another highly quantitative discipline
Hands-on AI leader passionate about building innovative solutions, developing technical talent, and transforming how financial services organizations leverage artificial intelligence.
Responsibilities
Lead the end-to-end delivery of AI use cases
Define the technical standards for AI delivery
Manage and mentor teams across data science, machine learning engineering, and operational business analytics
Serve as the primary translator between executive business goals and technical execution
Develop and execute the organization’s AI and analytics strategy
Requirements
Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Statistics, Applied Mathematics, Operations Research, Econometrics, or a closely related quantitative discipline
Nice to have: PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Statistics, Operations Research
Nice to have: Databricks Machine Learning Professional
Nice to have: Databricks Data Engineer Professional
Nice to have: Cloud Architect certification (Azure/AWS/GCP)
Join a collaborative team of product, analytics, and engineering experts building models and tools that improve strategic finance decisions. You will work on high-impact problems, partner closely with stakeholders, and help turn data into measurable outcomes.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Drive business outcomes and decision-making through data and analytics by using enterprise data to inform modeling approaches, understand behavioral patterns, and perform sensitivity analysis
Build deep knowledge of supported business areas to deliver pragmatic, effective solutions
Translate business needs into technical requirements and collaborate with technology teams to deliver capabilities end-to-end
Partner with end users and data product owners during user acceptance testing to confirm delivered functionality meets requirements
Partner with quantitative modeling teams to develop and refine statistical models, continuously evaluating performance and effectiveness
Requirements
Formal training or certification on software engineering concepts
Utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline to improve data and systems running at scale, ensuring end-to-end monitoring of infrastructure and applications.
Responsibilities
Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of infrastructure and applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical applications
Drives the daily activities supporting the standard capacity process applications
Requirements
Formal training or certification on infrastructure engineering concepts
Develop quantitative models, algorithms, analytical capabilities and agentic workflows to help Cash Equities Sales teams engage more effectively with clients by transforming complex client flow and transaction data into actionable signals, client-targeting insights, and trade ideas.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Research, develop and validate models and algorithms for data processing, signal identification, client targeting, opportunity prioritization and Sales analytics.
Construct reproducible research datasets and develop methods for extracting, enriching and interpreting structured and unstructured data.
Analyze client trading behavior to identify which clients to target, with which ideas, and when.
Develop "who to call" recommendation models that rank clients for Sales coverage.
Build reusable executable analytical capabilities, including tools, skills and plugins, that encode research methods for use in Sales applications and AI-assisted workflows.
Requirements
Advanced degree in Mathematics
Advanced degree in Statistics
Advanced degree in Computer Science
Advanced degree in Data Science
Advanced degree in Physics
Skills
Quantitative Trading & Research - Credit & Public Finance Sales - Associate
As an Associate for the Quantitative Trading & Research team, you will primarily focused on supporting Credit & Public Finance Sales. This global sales team distributes corporate & municipal bonds, loans, CLOs, CDS, credit indices, and other corporate-credit related products. You will turn complex data into client-relevant signals, content and trade ideas that support both inbound and outbound client workflows, and own each project end to end: from problem framing and data preparation through methodology, evaluation, production implementation and monitoring.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Generate client-tailored marketing materials and analytical content for JPM inventory, with clear source attribution and supporting rationale, sent directly to sales and/or clients, to increase client satisfaction, draw more clients onto our proprietary platforms, and increase client “stickiness”
Develop relative-value and analytics tools that match client interests and holdings with available inventory, generating trade ideas and prioritizing the most actionable opportunities
Build tools and data pipelines that automate or aid sales workflows, combining structured and unstructured market, trading and client data from multiple sources with automated data-quality checks
Design, prototype, build and support AI agents that support sales workflows, for example LLM-based extraction of structured information from unstructured text, with rigorous evaluation against benchmarks and baselines, using error analysis and Sales feedback to improve accuracy
Package analytical methods as reusable tools, skills, plugins and MCP servers that Sales applications and AI agents can call
Requirements
Masters-level or equivalent experience
Strong academic background in a quantitative field (e.g., Mathematics, Physics, Statistics, Economics, Computer Science, Data Science, Engineering, Quantitative Finance)
Senior Pharmaceutical Commercial Analytics ScientistNewSigma Inc. (Sigma Systems, Inc.) · Remote, US
Decision Science Vice President – Finance AnalyticsNewJPMorgan Chase & Co. · US