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.
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, New York15 days ago
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The successful candidate will play a central role in the ownership, enhancement, and governance of the bank’s internal and vendor credit risk models, including risk rating scorecards, expected loss implementation, override monitoring, portfolio analytics, and credit stress testing.
Learn more about our commitment to diversity, equity and inclusion here: . .
If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc.
If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.
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.
New York, New York30+ days ago
Just as importantly, this role requires someone with actuarial judgment who can understand the business and modeling reasons behind the tools being built, help identify where new tools or enhancements would add value, and ensure those solutions are grounded in real actuarial needs. Responsibilities: Build and maintain actuarial tools and applications — including interactive Shiny and Streamlit apps, Power BI dashboards, and data pipelines — that support model review, model interpretation, data validation, reporting, and decision-making across lines of business.
The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques.
Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results. As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world's largest repositories of consumer data.
Jersey City, NJ30+ days ago
Job Responsibilities: Focus on the review and risk governance of forecasting and scoring models (including models developed using traditional statistical methods as well as advanced AI/ML techniques) and used by Consumer and Community Banking (CCB) for stress testing, risk and regulatory capital measurement, allowance determination, new origination, etc. Required qualification skills and capabilities: PhD or Master Degree in Statistics, Economics (with a focus on Econometrics), Data Science, Computer Science, Operations Research, Physics, Engineering, Applied Math or a quantitative science.
Jersey City, NJ30+ days ago
As a Quant Model Risk Vice President in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with the models used by Treasury for resolution and recovery, liquidity, stress testing and budgeting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.
This is a Director position within our Corporate Treasury & Capital Planning Job Family which is responsible for planning, managing, forecasting and optimizing capital, liquidity and funding resources; governance oversight of Treasury and Capital Planning; setting frameworks, policies and guidelines for appropriate management of these resources; managing regulatory deliverables and exams; managing CCAR/Capital Stress Testing process. 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.
p>Lower middle-market private equity firms, growth equity investors, credit funds, and other buy-side investment platforms within our network may seek analytically strong Financial Modeling Associates to support investment underwriting and decision-making. Individuals in roles like this are deeply involved in building, reviewing, and refining financial models used to evaluate potential investments and monitor portfolio performance.
p>This listing represents a sample Financial Modeling Analyst role within venture capital firms, growth-stage investors, and startup-focused investment teams participating in the Career Launch AI Talent Network. The role emphasizes building and maintaining financial models for early- and growth-stage companies, supporting valuation analysis, scenario planning, and portfolio monitoring.
New York, New York30+ days ago
More specifically, the candidate will be expected to propose model experimentation ideas during development, recommend expected loss adjustments and guardrails for the final trained models, communicate the benefits and concerns of various technical modeling choices, and influence management decisions related to predictive model usage. Foster a strong risk management culture by maintaining model documentation, managing change management processes, and adhering to established model governance policies and best practices for data and code management.
We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions. You will help conceptualize, prototype, and deploy user-facing experiences grounded in Generative AI, working collaboratively with engineering, design, and product to bring these capabilities to life in Firefox.
The Vice President, Data Scientist will serve on Chubb''s Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model implementation for commercial insurance. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
Jersey City, NJ21 days ago
Your success will require you to collaborate with model developers and users across Risk, Finance, Operations, Digital, Marketing, Fair Lending, Technology, Control teams, Internal Audit, and bank regulators to ensure models are used appropriately and transparently in their business context. Execute comprehensive model reviews by evaluating conceptual soundness, assessing assumption reasonableness and input reliability, verifying implementation testing completeness, confirming numerical robustness, and justifying performance metrics and risk measures.
You will collaborate with model developers and users across Risk, Finance, Operations, Digital, Marketing, Fair Lending, Technology, Control teams, Internal Audit, and bank regulators to ensure models are used appropriately and transparently in their business context. Execute comprehensive model reviews by evaluating conceptual soundness, assessing assumption reasonableness and input reliability, verifying implementation testing completeness, confirming numerical robustness, and justifying performance metrics and risk measures.
p>As a Senior Product Associate in Trust & Security Authentication Platforms and Modeling, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. This role works at the intersection of data scientists, business, and technology and will focus on understanding user journey of authentication, identifying opportunities of customer interaction data, and developing strategy of AI/ML solution development and deployment.
Jersey City, NJ9 days ago
p>QUALIFICATIONS: Minimum education and experience required: PhD in Economics, Mathematics, Statistics, Data Science, Mathematical Finance, or related field of study plus 3 years of experience in the job offered or as Quant Modeling, Model Risk, Risk Advanced Analytics Specialist, or related occupation. The employer will alternatively accept a Master''s degree in Economics, Mathematics, Statistics, Data Science, Mathematical Finance, or related field of study plus 5 years of experience in the job offered or as Quant Modeling, Model Risk, Risk Advanced Analytics Specialist, or related occupation.
p>Solutions and Primary Focus Areas for this Role: • Assess a finance organizations vision and strategy, operating model, organization design, processes and technology; design and implement execution plans • Establish business partnership through strategic long-range planning, budgeting, forecasting, and scenario modeling all enabled by technology • Design management reporting packages with focus on key performance indicators to facilitate management and achievement of financial goals • Leverage analytics and visualization tools to influence decision-making and predict business outcomes with data-driven insights (Tableau, PowerBI, Alteryx, etc.) • Drive working capital improvements and greater transparency into cash flow reporting and forecasting • Support Day One readiness and execution of a transaction or liquidity event and manage any transition service agreements or business integrations.
Ankura Office of the CFO Role Overview:
Ankura OCFO professionals serve as trusted partners, consistently delivering long-term value and results to a diverse clientele, ranging from middle-market enterprises to Fortune 500 companies.
A leading investment bank, valuation advisory firm, private equity group, or corporate finance team may seek a Valuation Modeling Specialist to support company and asset valuation, transaction analysis, and financial modeling across mergers, acquisitions, capital raises, and strategic initiatives. This Valuation Modeling Specialist description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers.
Backed by $450M from leading investors including Altimeter Capital, Redpoint Ventures, T. Rowe Price, Lightspeed Venture Partners, Alpine Space Ventures, and others - with an additional $500M in signed contracts across commercial and US government customers - we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. You will be part of a collaborative design team developing state-of-the-art mixed-signal SoCs to be hosted on some of the largest, most powerful, rapidly designed and rapidly manufactured satellites ever deployed in space.
Jersey City, NJ30+ days ago
Job DescriptionThe Analytical Data Services (ADS) division of Verisk's ISO business is the information refinery for our insurance-industry-experience data stores, ensuring that the country's largest database of P&C policy and claims information can effectively support the analytical engines underlying the pricing of the US P&C insurance market. We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion, data integration, data transformation, data analysis, and BI development.
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.
A leading investment bank, private equity firm, corporate finance team, or strategic advisory group may seek a Financial Modeling Specialist to support complex financial analyses across transactions, strategic planning, capital allocation, and performance forecasting. This role is ideal for candidates who excel in building robust financial models, translating assumptions into insights, and supporting senior professionals with data-driven decision-making across M&A, capital markets, and corporate strategy initiatives.