This is Adyen At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Engineer Adyen is looking for a Senior Machine Learning Engineer to join our Anti-Money Laundering team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. The Anti-Money Laundering team processes a massive transaction volume (over 800B euro in H1 2026) to detect complex financial crime and cover a wide range of customer risks. We currently run a hybrid stack of business rules and machine learning models, with a clear mission to systematically reduce our dependence on static rules and transition to a modern, model-first detection engine. In this role, you will: Develop and maintain production ML pipelines for data ingestion, training, validation, and deployment Help us upgrade an existing rules-heavy system to a modern automated AI/ML engine Collaborate with data engineers and data analysts to develop best in class Fintech models Collaborate with operations and compliance teams to ensure Adyen’s models operate worldwide without a hitch Tackle difficult technical challenges like extreme class imbalance and incomplete ground truth Support and encourage good engineering practices Who You Are: You have 7+ years of experience as an engineer working in th
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This is Adyen At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help businesses achieve their ambitions faster. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Machine Learning Engineer Adyen is looking for a Senior Machine Learning Engineer to join our team in Amsterdam, someone with experience of building and operating robust machine learning systems at scale in production environments. You will be responsible for designing, productionizing and maintaining machine learning services that power data products at Adyen. Teams Currently Hiring: Optimise: Optimize Intelligence at Adyen is a specialized team of Machine Learning Scientists and Data Analysts focused on maximizing transaction success, minimizing transaction costs, and driving payment performance at a global scale. We build and scale advanced ML/DL solutions that operate over massive, complex decision spaces, determining the optimal path for every single transaction in real time. Our systems evaluate high-dimensional data streams to dynamically select the optimal authentication methods, apply smart payment message optimizations, and orchestrate intelligent transaction routing. Our models live-score millions of daily transactions, balancing coupled cost and performance objectives simultaneously. If you are passionate about solving intricate combinatorial challenges and pushing the boundaries of adaptive decision-making systems, join us in shaping the future
The AML Data Scientist will work under the supervision of a Functional Team Manager to provide ongoing support in terms of required analysis. The scope of analysis will cover all aspects of analysis performed by the team within different projects: Key Performance Indicator Driven Tuning and Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. The Data Scientist will follow the globally consistent methodology but is expected to have a high level of initiative and creativity and suggest enhancements to current methodologies. The analyst evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. It requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication skills are required. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities : Apply quantitative and qualitative data analysis methods including Python (and R), SQL to extract, transform and analyze data. Prepare statistical and non-statistical data for visualization and exploration, validate data, identify data quality issues in AML risk related projects. Contribute towards AML Optimization techniques and related deliverables i.e. Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; write formal documentation using statistical vocabulary. Build Machine Learning (Predictive Modeling/ Classification/ Regression) models. Conduct data analysis, data mining, read and create formal statistical documentation, and work with
Work Flexibility: Hybrid Join Stryker’s Finance team in a senior accounting role supporting accurate financial reporting and general accounting processes within an international environment. You will provide technical accounting expertise, review key accounting activities, support month-end close, coordinate deliverables, and help maintain compliance with accounting policies and internal controls. What you will do Serve as a subject matter expert for general accounting processes, providing guidance to team members and supporting accounting-related queries. Perform and review complex accounting activities, including month-end close, journal entries, account reconciliations, fixed assets, cash accounting, financial reporting, and financial statement analysis. Review and approve journal entries and account reconciliations for assigned entities, ensuring appropriate supporting documentation and accuracy. Coordinate month-end closing activities and other key accounting deliverables in collaboration with the Supervisor or Lead Analyst. Execute assigned Sarbanes-Oxley (SOX) controls and support internal and external audit requirements while ensuring compliance with accounting policies, procedures, and internal controls. Partner with local accounting teams and markets to investigate and resolve discrepancies, accounting issues, and queries, escalating matters when required. Support the migration of accounting processes across countries in scope and create and maintain related process and procedure documentation. Train new and existing team members and identify opportunities to improve accounting processes and operational efficiency. What you will need Required Bachelor’s degree in Accounting, Business Administration, or a related field. Minimum 3 years of
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design
The Grid Modernization Engineer plays a critical role in the full technology lifecycle of Advanced Distribution Management Systems. This position is responsible for the design, configuration, development, testing, deployment, and ongoing support of software, hardware, and integrated systems that support grid operations. The Engineer collaborates closely with Analysts, Product Managers, System Operators, and cross functional technical teams to ensure solutions meet all business, functional, and reliability requirements. The engineer may be assigned to implementation projects or operational support, with responsibilities ranging from building new solution capabilities to maintaining, upgrading, and troubleshooting existing platforms. Location: This position is in South Plainfield, New Jersey. The qualified candidate is required to be in a commutable distance and able to go into client offices 3 days per week. Salary: This position pays a salary in the range of $135,000 to $145,000 annually. Responsibilities: Analyze business requirements, operational workflows, and end-user needs to translate them into technical solution designs, system configurations, and implementation plans. Perform peer reviews of technical designs, implementation plans, configuration settings, code, and deployment artifacts to ensure accuracy, completeness, cybersecurity compliance, and alignment with enterprise standards. Troubleshoot escalated support issues, conduct root cause analysis, and recommend both short-term workarounds and long-term corrective actions. Monitor system performance, review operational reports, and ensure ADMS functionality meets defined service levels, reliability expectations, and regulatory or operational standards. Support deployment activities for new features, subsystems, modules, upgrades, patches, and defect resolutions across development, test,
Principal Consultant - Payments SME Location: NYC or Charlotte, USA | Practice Area: Banking & Payments | Type: Permanent Drive transformation across high-value payment systems in a fast-evolving global landscape The Role We are seeking a Senior Consultant to join our Banking & Payments practice, supporting large-scale payments transformation initiatives. This role combines Business Analysis and Scrum Master responsibilities, working on high-value and cross-border payment systems. You will play a key role in delivering change across complex payment infrastructures while collaborating with global stakeholders in an agile environment. What You’ll Do Lead business analysis activities across high-value payments and transformation initiatives Facilitate agile ceremonies and support delivery as a Scrum Master across cross-functional teams Gather, document, and translate business and technical requirements into actionable deliverables Support transformation programs across payment systems including cross-border transactions Collaborate with stakeholders to ensure alignment across business, technology, and operations What We’re Looking For Proven experience as a Business Analyst and/or Scrum Master within Banking or Payments knowledge of high-value payment systems and transaction flows Working knowledge of FEDwire, CHIPS, and ISO20022 (pacs.008, pacs.009) Experience delivering within agile environments and facilitating Scrum practices Ability to engage stakeholders and communicate requirements clearly across teams Bonus Points For Experience in payments transformation or modernization programs Exposure to cross-border payments and regulatory considerations Familiarity with financial messaging standards and payment processing systems Experience working with Tier 1 financial institutions Certification in Agile, Scrum, or Business Analysis disciplines Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative
About the role Chime’s Cards org is hiring an engineer to help scale and evolve Cards portfolio. In this role, you’ll dive into high-impact projects across our service architecture, collaborating with product, risk, and design partners to deliver resilient, secure systems. While your focus will be backend, we're looking for someone who’s excited to roll up their sleeves and contribute wherever it’s needed most to move the team forward In this role, you can expect to Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years of experience developing software in a production environment at scale Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams Proven experience with Ruby on Rails or comparable frameworks Experience with transactional databases and caching systems Deep understanding of architectural patterns for large-scale web applicat
Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef
Job Overview As a UI/UX Designer, you will shape the web interfaces and interaction systems supporting the World of Warships product. You’ll work closely with developers, QA, analysts, PMs, and other designers to take concepts from initial sketches through implementation, while maintaining a consistent and high-quality visual style. You’ll use a data-driven, product-oriented approach to continuously improve features based on user feedback and contribute to clear UI guidelines and design documentation. Reports to Project manager What will you do? Design the web interfaces from a sketch to the final implementation and take control of the interface assembly Maintain and improve the visual style of the web services Control the visual quality of the UI at each stage of production: conception, design layouts, implementation Iteratively improve the design of features in accordance with user feedback and possible changes in the technical requirements of the development Prepare project documentation: interaction description, UI guidelines, fixing rules and improvements in the user interface system Interact with other designers, analysts, developers, and QA Create tasks for the 2D team and UI writers What are we looking for? 3+ years of working experience Deep understanding of UX principles and interaction design Data-driven design approach and product-oriented mindset Experience using analytics, user research, and feedback to drive design decisions Ability to design scalable UI systems and establish reusable patterns and standards Excellent knowledge of Figma Experience working with Jira/Confluence Advanced level of English and Russian language What additional skills will help you stand out? Experience working with AI tools Basic understanding of layout & frontend markup (HTML/CSS), and the use of DevTools to identify differences from the design Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Bene
A Career with Point72's Investment Professional Development Team Our Investment Professional Development (IPD) team is dedicated to the growth and development of our investment analysts. The team focuses on developing investment professional skills with the goal of driving superior alpha generation and enhancing team investment processes by analyzing, consolidating, and sharing best practices, training the investment team population, and preparing analyses and data with partners across the firm. What you'll do Teach Point72 Academy associates how to use artificial intelligence (AI) effectively and responsibly throughout the fundamental investment research process Build and maintain approved AI tools and workflows that support hands-on training, research practice, and analyst development Create practical lectures, demonstrations, assignments, and stock-based case studies that translate AI concepts into research applications Develop reusable prompts, templates, Python scripts, document search tools, and workflow automations for associates to apply in their work Lead product development from concept to launch, including shared data and analytics workflows that associates can deploy and maintain Coach associates and help resolve technical and research workflow challenges Troubleshoot issues involving APIs, prompts, data preparation, workflow execution, and connections between models and enterprise tools Stay current on emerging AI technologies approved for use across our firm and incorporate relevant capabilities into the Point72 Academy curriculum Partner with Compliance, Information Security and other internal colleagues on approved data sources, system permissibility, analytics, and related AI training initiatives What's required Two or more years of experience in applied AI, data science, technical training, or a related field Bachelor’s degree in computer science, engineering, data science, statistics, or a related discipline Interest in financial markets and abili
Business Solutions Manager improves operational processes and supports critical business strategies by managing the development, implementation, and maintenance of application systems. Leads multiple projects and oversees developers to ensure specifications are met. Provides input to strategic decisions that affect functional areas of responsibility. May give input to developing the budget. Capable of resolving escalated issues arising from operations, which require coordination with other departments or regions. Key responsibilities: Establish and maintain a regional IT strategy supporting plans based on Global IT strategy and needs Identify and help solve problems affecting business solutions and work closely with Global/local IT peers and business stakeholders to analyze business systems and make recommendations for technical and process improvements Work on harmonization of local business processes, aligning with Global business processes Manage IT staff (onsite, remote, in-house, and third-party outsourced teams) and drive both project implementation and daily IT operational support management Collaborate and work closely with the business teams and extended IT teams both globally and regionally (systems analysts, solution architects, developers, security SMEs) to transform business requirements into scalable system solutions Respond quickly to shifting market dynamics and business demands, and when appropriate, work with key leadership to mitigate project or operational risks or to prioritize projects Act as the Japan IT Business Partner to serve as single point of escalation for strategic and critical tactical issues raised by the local and global stakeholders Liaise between Japan, the rest of Asia, and global headquarters to exchange best practices, learn about global trends, and propose new services or features to different functions that could help achieve Japan’s busi
Experience: 7-12 Years Location: Noida / Bangalore Joining: Immediate / Short Notice Preferred About the Role We are looking for a Senior Business Intelligence Analyst who can independently drive insights that influence business performance and product decisions. This role requires strong analytical depth, a clear business mindset, and the ability to understand customer behavior across the product lifecycle. You will work closely with Product, Business, Growth, and Leadership teams to convert data into actionable intelligence, going beyond dashboards to answer why things are happening and what should be done next. Key Responsibilities Own and drive business and product insights across acquisition, engagement, retention, and monetization. Partner with Product and Business teams to define, track, and evolve key metrics and north-star KPIs. Perform deep-dive analyses on customer behavior, funnels, cohorts, and feature usage to identify growth and efficiency levers. Build and maintain dashboards, MIS, and self-serve reports that serve as a reliable source of truth. Support experimentation and A/B testing by defining success metrics and analyzing outcomes. Proactively surface risks, anomalies, and opportunities using data-backed narratives. Collaborate with Data Engineering and Product teams to improve data quality, tracking, and analytical readiness. Translate complex analysis into clear, actionable insights for non-technical stakeholders. Required Skills & Experience 712 years of experience in Business Intelligence / Analytics, preferably in product-led or consumer internet / fintech organizations. Strong hands-on experience with SQL (mandatory); ability to work with large and complex datasets. Experience with BI tools such as Tableau, Power BI, Looker, or similar. Solid understanding of product metrics, funnels, cohorts, and lifecycle analytics. Proven ability to independently structure ambiguous problems and deliver end-to-end insights. Strong communication skills
About the Role We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs. Specific Responsibilities: Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management. Manage and optimize Apache Spark pools for high-performance data processing tasks. Develop and maintain ETL processes and data pipelines using Python scripting. Ensure data quality and integrity across all platforms and systems. Collaborate with cross-functional teams to translate business needs into technical specifications. Stay current with industry trends and advancements in Azure data services. What you'll need: Bachelor’s degree in Computer Science, Engineering, or related field Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools. Expertise in Python scripting and other programming languages such as SQL and Java Senior level knowledge of data modeling, processes, and data warehouse concepts Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholder
Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our
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