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Top Analysis Reporting Jobs in NYC, NY
The Compensation Analyst will participate in compensation surveys, maintain compensation systems, analyze market data, support recruitment efforts for competitive compensation, and collaborate with various teams to develop compensation models and policies. Strong analytical skills and expertise in Microsoft Excel and Workday are required.
Quantitative Researchers at GQS conduct research using statistical and mathematical techniques to optimize financial portfolios and develop models for investment opportunities. They leverage data analysis and coding skills to drive impactful solutions, focusing on price formation and risk analysis.
Quantitative Research Analysts develop models and trading strategies using complex statistical techniques in financial markets. They backtest and implement trading models, analyze data, and innovate using unconventional data sources.
Quantitative Researchers at Citadel develop and improve trading models using complex statistical techniques. They conduct research to refine monetization systems for trading signals and implement algorithms in code. Candidates should have a strong quantitative background and experience in a data-driven research environment.
The role involves managing risks associated with AI and Machine Learning models by assessing their mathematical and statistical soundness, challenging model assumptions, and coordinating with stakeholders. Responsibilities include reviewing model risks, documenting testing results, and recommending remediation actions while collaborating with internal teams and external vendors.
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The analyst will generate valuation reports on private equity, conducting market data analysis and collaborating with clients. Responsibilities include improving valuation methodologies and providing top-tier client service while developing innovative solutions.
As an Analyst on the Chase Corporate Strategy team, you will develop growth strategies, launch new products, and analyze data while collaborating with senior executives and cross-functional teams on high-priority projects.
As an Applied AI/ML Data Scientist, you will leverage AI and analytics to innovate investment banking approaches, focusing on recommender systems, time series forecasting, and classification systems. Your role involves developing machine learning systems, analyzing complex datasets, and communicating insights effectively to stakeholders.
As a Decision Analytics Consultant, you will drive impactful supply chain projects, analyze complex datasets, collaborate on innovative solutions, manage project activities, and contribute to practice growth through thought leadership.
As a Decision Analytics Associate Consultant, you will analyze healthcare data to extract insights from Electronic Health Records (EHR), develop advanced statistical models, and communicate findings to clients. You will also mentor associates and manage client relationships while ensuring data quality and guiding decision-making.
As a Decision Analytics Associate Consultant in ZS's Rare Disease Practice, you'll develop statistical models, leverage data analytics for decision-making, design custom analyses, communicate findings to clients, and mentor team members. Your role will facilitate impactful solutions for clients facing challenges in rare disease therapeutic development.
As a Quant Researcher in Fixed Income Pricing, you will enhance the CP+ pricing product using MarketAxess' data. Your role includes analyzing bond market activity, maintaining existing models, and developing new pricing solutions to improve efficiency and transparency in trading.
The Compensation Analyst will support analytics, planning, administration, and implementation of compensation benchmarking and structure, collaborating with HR, recruiting, and management. Responsibilities include preparing reports, assisting in budget processes, conducting pay equity analyses, and enhancing compensation capabilities.
As a Quant Researcher at MarketAxess, you will develop data solutions for trading and data businesses, enhancing products through quantitative analysis and data insights, while collaborating with sales and global teams. Responsibilities include analyzing market dynamics and developing reports and models to support trading decisions.
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The Client Operations Analyst will support the operations of the department by managing resource planning, optimizing processes, and handling data analytics. Responsibilities include project resourcing, capacity planning using Salesforce data, documentation and training, monitoring KPIs, and collaborating with various teams for operational improvements.
The Compliance Analyst develops policies, conducts audits, implements compliance procedures, and manages risk assessments while ensuring adherence to regulations. Responsibilities include employee training, regulatory documentation, and managing compliance checks on IT systems. The ideal candidate has a strong compliance background and excellent communication skills.
The Senior Associate will oversee clinical data management, ensuring accurate and timely data reaches clinical teams. Responsibilities include data preparation and validation, leading technical initiatives, and collaborating to create data capture solutions. Expertise in relational databases and clinical data standards is critical.
The Billing Analyst at Carrot Fertility will manage the billing process, ensuring invoice accuracy, monitoring payments, and optimizing cash flow. This role involves analyzing billing data, resolving discrepancies, and providing customer service on billing inquiries, all while working remotely within a supportive accounting team.
As a Data Scientist, you will partner with a team to build machine learning models to combat fraud. You will leverage various technologies to analyze large datasets and develop solutions, translating complex data into actionable business insights.
As a Senior Associate Data Scientist at Capital One, you will build and analyze models using Natural Language Processing and Computer Vision to improve customer servicing applications. You will collaborate with data scientists and engineers for machine learning model development and engage with stakeholders to create data-driven solutions.
The Applied Researcher II will collaborate with cross-functional teams to leverage state-of-the-art AI technologies, developing AI foundation models and engaging in applied research to enhance customer experiences. The role involves high-impact research, building scalable AI solutions, and translating complex AI methodologies into business objectives.
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