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.
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.
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.
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).
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.
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
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.
Jersey City, NJ30+ 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. JPMorgan Chase, 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.
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.
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.
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.
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.
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.
Successful candidates will possess: Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers Drive to continuously improve all aspects of their work in a collaborative fashion Experience in machine learning Strong communication skills with the ability to quickly understand existing models and new requirements/business needs Experience working with Agile development methodologies Strong grasp of econometric theory and methodologies Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools Experience working with CCAR regulatory requirements Experience with derivative modeling Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: A Masters degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience in quantitative analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience in quantitative analytics At least 4 years of experience in each of the following skills through education or experience: Statistical or econometric modeling Linear and logistic regression Programming in R, Python, or SQL Presenting statistical concepts and research results to non-statistical audience At least 4 years of experience in at least 3 of the following skills: Survival analysis modeling Time-series analysis Panel data (longitudinal data or cross-sectional time-series data) analysis Cross-sectional data analysis Machine learning Analysis and management of large datasets (>1M records) Preferred Qualifications: 5 years of experience with Python, R or other statistical analyst software 5 years of experience in statistical modeling or regression analytics or machine learning At least 2 years of experience in derivative modeling (Fixed income, Commodity, FX or CDS) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Responsibilities: Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools Develop model approaches to assess model design and advance future capabilities Understand relevant business processes and portfolios associated with model use Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices Develop and maintain high quality and transparent documentation Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework Expertise in quantitative analysis is central to our success in all markets.