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>• 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.
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.
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.
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.
Yorktown Heights, NY30+ days ago
You will help to add ambitious new technologies and capabilities to quantum processors such as novel gates and couplers, new readout and reset methods, improvements to coherence, and quantum transduction. Your expertise could span multiple fields including superconducting device theory, Hamiltonian simulations in large Hilbert spaces, electromagnetic simulation, and microwave engineering.
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.
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.
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.
p>In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: - A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen's pipeline.
Jersey City, NJ23 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.
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, NJ11 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.
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.
Jersey City, NJ30+ days ago
p>Being part of the MRGR team will put you at the center of the firm's model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. 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.
It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career financial modeling and analytical finance roles. This job description represents a sample Financial Modeling Analyst position commonly found through the Career Launch AI Talent Network.
Morristown, NJ30+ days ago
Demonstrated ability to think and influence strategically: ability to connect products to organizational goals and quantifiable impact, drive change management and adoption of technical solutions, challenge assumptions with data-driven insights, and build trust with executive stakeholders. • Excellent stakeholder management and executive communication: ability to elicit, analyze, and synthesize requirements from senior leadership, translate complex statistical concepts into business language and vice versa, manage conflicting priorities and negotiate strategic trade-offs.
About the Role: We are seeking a highly motivated Data Center Acoustician / Acoustic Modeling Specialist with proven experience in campus-level acoustic planning, design and modeling. A strong understanding of large-scale facilities, sound-generating equipment (such as generators and cooling systems), and rough-order-of-magnitude (ROM) cost estimating is essential.
Jersey City, NJ30+ days ago
Join a team where your curiosity and technical mastery will impact innovation and deliver measurable results and work to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis functions. Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline; 3+ years of relevant experience in developing, testing, and refining data models and analytic prototypes using dimensional and relational data models.
Jersey City, NJ30+ days ago
li>Experience developing, implementing, and evaluating statistical models (e.g., linear/logistic regression, machine learning models); demonstrated ability to select appropriate modeling techniques, validate model performance, and interpret results to support business decision-making.
- Develop and apply statistical models and techniques to evaluate potential fair lending disparities across home lending and related lines of business (e.g., home lending - consumer, correspondent, servicing, subservicing, commercial term lending, asset wealth management).
li>Provide self-service access through AI-fronted interfaces (e.g., Tableau Agent), allowing stakeholders to query complex datasets using natural language to drive rapid analysis.
The Agentic Workforce Strategy & Innovation team sits at the intersection of two of the most consequential shifts in enterprise business: the rise of AI agents and the reimagination of how work gets done.
Jersey City, NJ30+ days ago
QUALIFICATIONS: Minimum education and experience required: Master''s degree in Computational Finance, Mathematics, Statistics, or related field of study plus two (2) years of experience in the job offered or as Model Developer, Market Risk Quantitative Researcher, or related occupation. Develop scalable data storage and monitor pipelines using object-oriented design and distributed computing to extract, transform, and analyze data used for Market Risk and Counterparty Credit Risk modeling and calculation.
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.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Consultant - Valuation & Modeling plays a critical role: converting strategic intent into tangible financial value, business cases, commercial logic, and economic narratives that land with CFOs, CEOs, and Boards.
Within that team, the Director - Valuation & Modeling plays a critical role: owning the value logic, and conversion of strategic intent into tangible financial value, business cases, commercial logic, and economic narratives that land with CFOs, CEOs, and Boards. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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.