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>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.
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.
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).
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 York10 days ago
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.
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.
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.
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.