Quantitative Analyst II (Capital Structuring & Analytics)

Use Your Power for Purpose Every day, Pfizer’s unwavering commitment to quality ensures the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is both flexible and innovative, always putting the patient first. Whether you are involved in development, maintenance, compliance, or research analysis, your contribution directly impacts patients. What You Will Achieve In this role: The incumbent is a member of the Quality Environmental Control (EC) Laboratory team. Under the supervision of the Environmental Monitoring (EM) Section Manager, and designated EM Shift Team Leader(s), the incumbent will be responsible for the collection, analysis, and inspection of manufacturing environmental conditions and materials according to Standard Operating Procedures (SOPs). Samples can include both physical and microbiological, air, surface, and water system products, as well as commodity items. In addition, the incumbent shall be responsible for both physical and microbiological, collection and analysis of pharmaceutical waters, raw materials, active pharmaceutical ingredients (APIs), and finished products according to Standard Operating Procedures (SOPs). Assays to be performed will be qualitative, quantitative, and investigational in nature and are performed in compliance with USP, FDA, other regulatory body requirements, Pfizer SOPs, and approved license requirements. Aseptic gowning practices will also be adhered to for the performance of activities as required. Results are compared with specifications, documented as per data integrity regulations, and incumbent is responsible for providing communication of all process and specification deviations. Incumbent has working knowledge of EM, microorganism handling, aseptic technique, and quality concepts as to perform routine assignments with minimal supervision. Additional responsibility may include performing data trending

Opportunity Overview: We are seeking a Healthcare Analytics Analyst to join our Analytics team. In this role, you will conduct analyses that drive our strategy, inform product performance, and provide insights critical to the development of new clinical intervention strategies and product enhancements. You'll partner closely with cross-functional teams and clients to optimize auto-decisioning performance and deliver increased value. This is an opportunity to directly impact company growth and assist patients at a critical time in their healthcare journey. What you’ll do: Research, build, execute and optimize auto-decisioning strategy for new client implementations Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients Perform quantitative analysis of health care cost, operational performance and clinical outcomes using claims and authorization data Track cost, utilization and industry trends to inform stakeholders of solution performance and provide insights around opportunities to optimize clinical value for patients, providers and payers Prepare information for clients, build reports, data visualization and self-service solutions for internal and external stakeholders Develop, review, and analyze detailed data sets leveraged for client reporting/analytics Collaborate with IPA team on rule refinement and metric tracking What you’ll need: 2+ years of experience working in an analyst role 1+ years experience building and/or maintaining dashboards and self-service business intelligence tools such as Tableau or PowerBI Demonstrated expertise in conducting complex analyses and identifying opportunities to drive enhanced value Proficiency with statistical analysis tools (such as SQL, R, or SAS) to extract insights from complex healthcare data sets,

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. What you’ll do Help architect and maintain the infrastructure for Structured Products investing. Leverage internal and external partners to help with data infrastructure builds. Integrate alternative and traditional data sets to help streamline our analytic processes. Use Artificial Intelligence (AI) to enhance and optimize processes. Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg. Manage and assist in special projects within the CLO market. What’s required 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund. Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics. Advanced knowledge of a programming language such as Python, C++, or SQL. Advanced skills in Excel and cashflow modeling. Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employ

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst , you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter exp

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: This is a two-year, full-time rotational program crafted to provide analysts with a broad spectrum of quantitative and technical experience working across multiple capital markets desks. The primary objective of this program is to develop modelers, desk quants and mortgage analytic practitioners through real-world training experiences spanning the entire mortgage capital markets life cycle. Analysts will accelerate their professional growth by working alongside best-in-class professionals in quant-focused rotations while also learning about and developing skills on fixed income trading desks. The Quantitative Track of the Portfolio Management & Capital Markets Analyst Program is seeking candidates with quantitative skills (i.e., mathematics/statistics/engineering/computer science, some level of programming skills, and other related STEM skills), with interest in fixed income and finance, having experience as a plus. Quantitative Track Analysts will rotate among quantitative-focused capital markets and credit portfolio teams and develop experience working with large data sets, performing complex quantitative analysis, and building programs using coding languages including, but not limited to, Python, SQL, R, SAS, and. Some of the rotations offered include: Demonstrating big data techniques with Prepayment Modeling to predict borrower behavior. Supporting Credit Risk Transfer desk in analytics related to Freddie Mac portfolio of loans. Modeling impacts of proposed products, pricing adjustments, or changes to our capital structure. Supporting the