div class="content">About Thea Energy:
Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
p>Interaction Model: Daily collaboration with EQD Quant teams on model integration and enhancements Regular interaction with Front Office Technology stakeholders Close coordination with QA, Release, and Production Support teams Engagement with external vendors (e.g., Murex) as required for model or platform changes.
The developer will work closely with EQD Quants, Front Office Technology, and Release/Support teams to ensure models are correctly integrated, performant, validated, and production ready.
We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user-friendly Model Workbench that empowers marketers to harness the power of Machine Learning without the need for deep technical expertise. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/.
Learn more about our commitment to diversity, equity and inclusion here: . .
Jersey City, NJ13 days ago
You'll learn from experienced model builders and architects, contribute to end-to-end delivery, and help create scalable solutions that support close, budgeting, and forecasting processes. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
ul>Support model risk coverage activities for the respective MRGR Lines of Business, for example: prepare material for key Risk Committees and Forums, and model risk Business Review Meetings; lead model review and issue remediation planning and help Model Risk Officers with prioritization. As a Model Risk Management - Program Management - Vice President, you''ll support the management of model risk, governance activities are conducted to identify, measure, and mitigate model risk in the firm.
Jersey City, NJ30+ days ago
p>As a Risk Management - Model Risk Program Associate in the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, you will design and build AI-native tools, workflows, and platforms that re-engineer how model risk professionals conduct validation and governance. Hands-on experience with applied AI/ML and LLM technologies, including prompt engineering, RAG architectures, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM evaluation and beyond.
As part of the recently launched Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating Center will create a risk and credibility assessment program to work together with NAMs researchers to plan for and execute credibility assessments for their developed technologies. Assist in developing and implementing risk and credibility assessment frameworks for NAMs, including computational models, mechanistic experiments/simulations, organoid models, technologies in toxicology, and combinatory NAMs.
5+ years working experience in model development, model validation, or model audit in the risk area such as Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, Artificial Intelligence / Machine Learning, stress testing, and capital planning. To be successful in this role, were seeking the following: Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields are required (PhD is preferred).
p>Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
New York, New York30+ days ago
The team is accountable for promoting regulatory compliance by developing and maintaining compliance programs, including identifying and disseminating regulatory developments to businesses they support, maintaining Compliance policies, managing complaints and regulatory filings, providing relevant training, carrying out independent monitoring and oversight activities, reporting on the state of compliance to the Board, UDP and senior management, as needed, and providing advice and support, as required. We are seeking an experienced VP-level Quantitative Analyst to focus on the development and tuning of surveillance behavioral models, predictive risk scoring for alerts, and the design of automated quality assurance and analytical tools leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and emerging AI integration frameworks.
This is a senior quantitative risk opportunity at a well-established, high-performance quantitative trading firm, focused on building and overseeing a comprehensive risk framework for a newly launching asset management business. It's an ideal fit for a seasoned quantitative risk professional with a multi-strategy background who is ready to take ownership of a risk framework build-out and operate as an independent, senior voice in a fast-paced, intellectually rigorous environment.
The team is accountable for promoting regulatory compliance by developing and maintaining compliance programs, including identifying and disseminating regulatory developments to businesses they support, maintaining Compliance policies, managing complaints and regulatory filings, providing relevant training, carrying out independent monitoring and oversight activities, reporting on the state of compliance to the Board, UDP and senior management, as needed, and providing advice and support, as required. We are seeking an experienced VP-level Quantitative Analyst to focus on the development and tuning of surveillance behavioral models, predictive risk scoring for alerts, the creation of automated quality assurance tools leveraging a Large Language Model and Natural Language Processing (NLP) and designing and building business intelligence dashboards to support decision-making and reporting.
East Hanover, NJ30+ days ago
We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country. You will bring computational physics modelling & simulation capabilities to Mondelez R&D's highest priority areas, developing solutions to move R&D work away from large, factory-scale trials towards small-scale or in silico predictions.
li>Testing & Validation: Lead User Acceptance Testing (UAT), author test scripts, and ensure system enhancements or patches do not disrupt commercial operations. We are in search of a highly skilled Business Analyst with a deep understanding of the Model N Flex platform and a strong background in commercial managed-care and revenue management.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members.
Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data • Familiarity with graph databases and technologies • Familiarity with Python or RFamiliarity with JSON, OpenAPI/YAML, AVRO • Familiarity with Agile principles, processes, and methodologies • Familiarity with Amazon Web Services • Detail-oriented and an ability to problem-solve independently • Strong reading and writing skills • Strong project management experience • Excellent communication skills and the ability to present ideas clearly and with confidence • Ability to work individually and with a team to meet deadlines. Boston, MA: $164,800 - $188,100 for Manager, Ontology and Data Modeling McLean, VA: $164,800 - $188,100 for Manager, Ontology and Data Modeling New York, NY: $179,700 - $205,100 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
New York City, NY30+ days ago
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
p>• Proven leadership in large-scale financial engagements • Managing multi-disciplinary teams • Possessing thought leader-level cloud platform knowledge • Exhibiting mastery of programming languages • Understanding advanced analytical applications in finance • Developing large-scale cloud and data strategies • Overseeing complex project success and client satisfaction • Driving revenue growth through new business opportunities • Building and maintaining senior-level client relationships. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
5+ years of experience in AI/ML, software engineering, or related fields • Graduate degree in Computer Science, Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline • Strong Python programming skills, including familiarity with Git-based versioning and collaborative coding workflows • Experience developing and deploying AI/ML or analytical solutions in production environments • Understanding of financial concepts and products, or willingness to learn them • Strong communication skills and the ability to work with technical and non-technical stakeholders. We support Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
New York, New York30+ days ago
ul style="margin-bottom:0in;margin-top:0px">Help the team lead on various team admin work such as invoice processing, meeting organization and minutes, meeting deck preparation, etc. - Coordinate the requests from FLUs and CRM CA teams, be familiar with the model setup and requirements, and generate the rating reports as required.
We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Debugging complex issues and performance problems throughout the stack, including open source inference engines, container runtimes, and GPU drivers, in environments you cannot always access directly.
p>Firm Risk Management (FRM) enables Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. You will collaborate with colleagues across FRM and the Firm to protect the Firm''s capital base and franchise, advise businesses and clients on risk mitigating strategies, develop tools and methodologies to analyze and monitor risk, contribute to key regulatory initiatives and report on risk exposures and metrics to enable informed and strategic decision-making.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
New York, New York30+ days ago
Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
New York, New York30+ days ago
Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. We’re seeking someone to join our team as a Governance, Advisory & Reporting Specialist in Finance Model Control Office (MCO) by acting as a key liaison between Finance/ Business stakeholders and Model Risk Management (MRM).
A leading investment bank or advisory firm may seek a Financial Modeling Analyst to design, build, and maintain complex financial models, support valuations, and assist senior bankers with transaction execution. This Financial Modeling Analyst description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers.
Prior experience must include one (1) year with Master's degree or three (3) years with Bachelor's degree with the following: evaluating pricing and risks of futures, options, swaps, and general derivatives; working with Interest rate pricing models; functional scripting languages such as Python, R, or MATLAB; object-oriented language such as C++ or Java; relational database experience including SQL; LaTex to produce formal and version-controlled documents with equations and tables; identifying bugs and design errors in code snippets; and writing tests to validate code design. Job Requirements: Master's degree (U.S. or foreign equivalent) in Economics, Finance, Financial Economics, Mathematics, or a related field and one (1) year in the job offered or in a related role OR Bachelor's degree (U.S. or foreign equivalent) in Economics, Finance, Financial Economics, Mathematics or a related field and three (3) years in the job offered or in a related role.
As part of the recently launched Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating Center will create a risk and credibility assessment program to work together with NAMs researchers to plan for and execute credibility assessments for their developed technologies. Job Responsibilities:
- Assist in developing and implementing risk and credibility assessment frameworks for NAMs, including computational models, mechanistic experiments/simulations, organoid models, technologies in toxicology, and combinatory NAMs.