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.
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/.
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.
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.
em>For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, TwitterandInstagram. - 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.
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.
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.
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. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations.
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. In this role, you will analyze client needs, provide consulting services across different strategic areas, and offer guidance to help clients develop and implement effective strategies that align with their business objectives.
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. In this role at PwC, you will analyze client needs and provide consulting services across different strategic areas, offering guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth.
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.
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.
Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 265 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing.
p>This role will focus on Risk Models and will be responsible for a range of tasks throughout the Model Lifecycle including assessing conceptual soundness, performing sensitivity analysis, verifying proper model implementation, developing benchmark models and reviewing model performance. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking).
We're seeking a visionary Senior Manager to lead our Critical Data Models (MDM) team that manages our master data platforms and models for customer, supplier, and product. You'll build and mentor a team of data experts, collaborating with stakeholders & stewards across the business to establish a single source of truth for our most critical data assets.
p>We are seeking an ambitious software engineer to join the Model Development and Management team, that is building the self-serve user interface layer for Netflix's MLP in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. What we are looking for:
Experience developing platform solutions - SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy.
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.
li>Serve as a subject matter resource for supporting client engagement teams in business and operational model considerations as well as assessing risk of digital asset ecosystems, covering compliance, regulatory, BSA/AML, cyber, operational, blockchain, and financial risks. Successful candidates will demonstrate an aptitude for complex problem-solving and analytical skills and the ability to communicate complex ideas clearly and persuasively across a variety of strategic, operational, technological, and risk management matters.
Jersey City, NJ30+ days ago
Responsibilities: Assist development teams with implementing new GenAI solutions from identification through validation phases, including assessing the soundness of the solution from data-science perspective, metric evaluation, materiality classifications, model exposure, model limitations, and scope of usage. The types of models and use cases will vary, and the person in this role will be required to work across teams that implement a variety of GenAI solutions that serve different groups and products within the bank.
Bronx, New York9 days ago
p>#mst #mstjobs #fft #bsft #incredibleyears #pcit #therapy #therapist #clinician #socialservices #lpc-a #lpca #lcsw #lpc #lmsw #lsw #lcsw #lmft #lmhc #mentalhealthjobs #familytherapy #juvenile #evidencebased #cbt #dbt #multisystemictherapy #ebp #ebm #masterlevel #nowhiring #hiringnow #jobs #clinicaljobs #hiring #careers #childfirst #earlychildhood. Serving as an essential member of the Group Residence teams, the ITM Coordinator will oversee the preparation for group sessions and work alongside the Clinical Director to ensure youth participation.
ul>Lead and develop a high‑performing analytics team responsible for independent validation of the Bank's residential mortgage and retail portfolio credit loss forecasting models supporting CCAR stress testing and CECL requirements. Manage internal audits and regulatory examinations, serving as a key point of contact for regulators, auditors, and senior stakeholders to clearly articulate validation analyses, findings, and conclusions, and effectively address supervisory feedback.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
li>Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.