Implementation Analyst in United States

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

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Job Purpose and Summary: Accountable for Commercial, Medicare, Exchange and Medicaid NCQA Accreditation quality projects and initiatives through design, development, and implementation. This role focuses primarily on Delegated Credentialling and Oversight of the delegated Credentialling organizations, per contract. Proactively builds strong business relationships with internal and external business partners. Participates in presentation to business partners on accreditation requirements to achieve results and ensure accreditation readiness. Proven experience as a subject matter expert on NCQA accreditation standards, analysis, Delegated Credentialing file reviews and supporting quality functions. Primary Job Duties & Responsibilities: Utilizes statistical analysis, data visualization tools, and database queries to identify trends, patterns, and opportunities for quality improvement. Develops and maintains performance metrics and dashboards to track and report on patient safety, clinical effectiveness, patient experience, and compliance with quality standards. Contributes to quality improvement projects and initiatives by providing data-driven insights and recommendations. Collaborates with cross-functional teams to design and implement evidence-based practices, care protocols, and process improvements. Assists in conducting audits and performing chart review

Procurement Analyst (Procurement Analyst-General) Company: The Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for an Experienced Procurement Analyst (Level 3) to join our dynamic Chinook team in Ridley Park, Pennsylvania . Position Responsibilities: Defines, designs, plans and deploys internal/external projects Develops processes and tools to measure key performance indicators Extracts, analyzes and prepares reports to measure key supplier and internal performance-to-plan Develops, documents and implements processes and systems in support of company goals Supports the development and implementation of strategies Identifies and implements improvements to streamline and automate process flows Distributes, updates and tracks procurement plans for supply chain integration and procurement analysis Assesses and reports compliance to internal/external stakeholders Develops risk mitigation plan This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Shift: This position is for 1st shift. Basic Qualifications (Required Skills/Experience): More than 5 years of experience using all the following Microsoft Office Applications (Word, Excel and PowerPoint. More than 5 years of experience working with analytics, data and spreadsheets to build presentations and make recommendations Experience supporting deliverables for both internal and external customers. More than 5 years of experience working across multiple business units and interfacing with k

Technical Accounting Analyst Description - US GAAP Technical Accounting – Financial Analyst Responsibilities: Technical Accounting role will handle the following types of responsibilities: Lead technical accounting research and preparation of position papers; document conclusions of key judgments and estimates with management and external auditors Providing support to finance teams and business partners on technical accounting matters as required, including research, analysis, and documentation of conclusions related to contracts and operational matters and leading the implementation of, and compliance with, new accounting requirements Ensuring the quarterly contingency and one-timer reporting process is executed with no exception. Performing extensive benchmarking evaluations Monitoring, assessing, documenting and communicating new GAAP, SEC and other accounting and disclosure issues Coordinating with various departments to assist in providing and vetting financial information Drafting and updating AFM accounting policies and memos These activities will involve actively participating in meetings across multiple organizations and identifying and solving problems. There will also be involvement with quarter end close activities including providing auditors documentation to support the accounting conclusions made. Skills needed: Detailed understanding of accounting rules Consults with business leaders to guide and influence strategic decision-making within a broad scope. Identifies opportunities for process improvement and policy development and engages in the design. Ability to influence multiple organizations within a broad scope, typically interacting with other managers and directors. Excellent understanding of accounti

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Customer First Team We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers. Join our team! We’re building a world where Identity belongs to you. Role Summary The Business Analyst (BA) is an essential member of the Okta Professional Services team. This role offers a unique opportunity to learn Identity and Access Management (IAM) fundamentals from the ground up. You will serve as a bridge between customer business objectives and technical implementation, developing the skills to own the requirements lifecycle and ensuring final deliveries are secure, scalable, and aligned with strategic needs. Key Responsibilities Discovery & Requirements Facilitation: Facilitate stakeholder workshops to uncover requirements, map current-state IAM processes, and identify dependencies and pain points across IT, security, and application teams. Documentation & Solution Design: Translate business needs into detailed functional and non-functional requirements. Produce clear business process flows and solution design diagrams to visualize the "how" and "why" behind the technical configuration. Traceability & Solution Integrity: Support senior team members in maintaining

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: The Composer by SoFi Segment Manager plays a key role in operating, scaling, and evolving the Composer business. This individual will own critical workstreams spanning trading and brokerage operations, process design, member servicing, risk and controls, and strategic initiatives. The role will partner closely with Product, Engineering, Operations, and Compliance to translate business needs into scalable operating solutions. The ideal candidate combines strong brokerage expertise with structured problem-solving, sound judgment, and the ability to independently drive complex initiatives from problem identification through implementation. What you'll do: Own and support critical Composer business operations, including trading, brokerage servicing, account operations, and complex operational escalations. Serve as a subject matter expert across Composer's operating model, including key brokerage workflows, systems, dependencies, and controls. Design and continuously improve end-to-end member journeys across key Composer experiences, identifying friction points and ensuring scalable servicing solutions. Serve as an escalation point for complex or high-impact member issues, driving resolution and translating learnings into broader process improvements. Partner across the business to identify oper

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the role You’ll be responsible for analyzing business processes, identifying areas for improvement, designing and implementing solutions to unlock our sales team. Your knowledge of sales processes will be instrumental in implementing critical systems to unlock our business goals. In this role, you’ll partner closely with RevOps, Sales Ops, Deal Desk, Finance, and Legal to turn real deal friction into durable systems: clearer processes, smarter automation, and a quoting experience that helps the team move faster with confidence. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What you’ll achieve Analyze business processes and sales systems to identify improvement opportunities Independently drive tasks and projects end to end (requirements, analysis, design, implementation, thorough testing, launch, and ongoing support). Manage Salesforce configuration through a governed change management process - building and mai

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is in a critical phase of growth. We grew immensely last year and are building out a talented business systems team to ensure we maintain this trajectory for years to come. You’ll work directly with our Sales, Account Management, Partnerships, and Product teams to execute mission-critical business systems projects across the organization. This is a key role where you will be uniquely positioned to impact the full picture of Ramp’s growth efforts through systems development. What You’ll Do Work alongside Sales Operations to administer key go-to-market business systems, including Salesforce, Outreach, Qualified, Zendesk, Hubspot, Looker, Gong.io Build and deploy automation (flows), validations, and applications in Salesforce Implement new systems and integrations as needed Analyze key business requirements and systems capabilities to write specifications for systems build and run end to end implementation Create key reports and dashboards to track systems performance and data accuracy Write and maintain clear documentation on syste

Citibank, N.A. seeks a Project Management Lead for its Irving, Texas location. Duties: Manage end-to-end delivery of wholesale credit risk and climate risk initiatives, overseeing projects lifecycle from requirements intake through execution and implementation. Define and monitor project milestones, dependencies to ensure timely project delivery and resolution of emerging risks or constraints. Partner with model developers in order to streamline, consolidate and redevelop wholesale credit risk models. Support model validation, audit readiness and project success by maintaining comprehensive documentation, remediation trackers, and evidence repositories. Coordinate with technology partners to optimize model integration, leading efforts to embed Comprehensive Capital Analysis and Review (CCAR) and International Financial Reporting Standard 9 (IFRS9) models into the library system. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Master’s degree, or foreign equivalent, in Finance, Business Analytics, or related field and 4 years of experience as a Project Manager, Financial Analyst, Accountant, or related position involving treasury and balance-sheet risk assessment, wholesale credit risk management and financial audit management. 4 years of experience must include: Risk management processes and frameworks in order to measure financial exposures under stress scenarios in model development; Understanding of control framework and regulatory expectations for model documentation, validation and periodic review; Project management including project structuring, development of timeline, implementation phases planning, resources allocation, identification of dependencies and bottlenecks, and escalation of issues; Data analysis and data quality assurance, including cleanliness of the data, completeness and accuracy, while ad

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: SQL / Python / Looker / Snowflake / dbt What you'll do: Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner Build processes supporting data transformation, data structures, metadata, dependency and workload management Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization) Develop and implement data analytics models Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 4+ years of data engineering experience Working with cloud-based application development, and be fluent in at least a few of: Cloud services providers like AWS Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc Big data tools like Spark, Ka

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, our People team is the backbone of an extraordinary employee experience. As a People Systems Analyst on the People Technology team, you'll serve as a key business systems partner — bridging the gap between our People Operations stakeholders and the platforms that power their work. You'll lead discovery, drive requirements, own testing, and see projects through from kickoff to hypercare — ensuring our HR and talent systems scale with the speed and complexity of Snowflake. This is a hybrid role based in our Menlo Park, CA, Dublin, CA, or Bellevue, WA offices with a minimum of 3 days per week in-office attendance required. WHAT YOU'LL DO: Partner closely with People Operations, Talent Acquisition, and HR stakeholders to conduct discovery, translate business needs into clear requirements, and recommend system solutions Lead end-to-end project delivery for system implementations and enhancements — including requirements gathering, solution design, UAT planning and execution, cutover coordination, go-live deployment, and hypercare support Create and own test plans, test scripts, and defect tracking; lead structured testing cycles and coordinate cross-functional testers to ensure quality outcomes before every release Administer, configure, and support HR systems day-

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations. Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals. The Difference You Will Make You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are hig

As a Finance Systems Analyst, you will play a key role in modernizing Datadog's finance organization through process automation, data analytics, and financial systems optimization. Working within the Finance Systems team, you will partner closely with Accounting, FP&A, Tax, and other finance stakeholders to improve the efficiency, accuracy, and scalability of financial processes and reporting. You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to help shape how emerging technologies, including AI, transform finance operations while contributing to strategic decision-making across the business. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with Accounting, FP&A, Tax, and other Finance stakeholders to gather requirements and translate business needs into scalable reporting and analytics solutions. Collaborate with cross-functional teams including IT, Business Systems, Sales Systems, and Analytics to drive data and automation initiatives. Build and maintain dashboards and reporting tools that monitor financial and operational performance and support evolving business priorities. Automate recurring finance processes and enhance data workflows using AI tools, data visualization platforms, and custom solutions. Support financial system implementations and upgrades through data migration, mapping, reporting integration, testing, and validation activities. Deliver analytical insights and maintain documentation that enables self-service reporting and informed decision-making across Finance. Who You Are: Have 1-5 years of experience in data analytics, financial systems, finance operations, or a rel

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.