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About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role The Treasury Accountant is a new role created in a growing Treasury function, responsible for several key processes within Finance. Working with the wider Treasury team, you will analyse Group-wide data, cash flows, oversee intercompany balance (loans, equity) and the documentation thereof, accounting for external debt and implement Finance-wide processes to work towards the continuous improvement of these workstreams, to ensure compliance between our intercompany balances and external facilities. As such, this role involves building relationships and credibility with numerous internal and external stakeholders in a dynamic environment. We have numerous external debt facilities, and over time, this role will acquire responsibilities for various aspects of IFRS 9 accounting, including accounting for interest calculations, utilisations & repayments, new debt & refinancings, and technical hedge accounting and documentation. Main Responsibilities Ownership over intercompany accounting and balances Project managing, whilst working with Finance, Tax and Compliance colleagues, the documenting of intercompany balances Accounting for External debt facilities, including drawdowns, repayments, interest accruals, debt- servicing. Accounting for external hedge relationships Ensuring compliance of

DR ASHWANI KUMAR VIJ : Have been retained by a Well Established, Fast Growing, Mid Size, Professionally Managed and Listed Organisation, manufacturing, marketing and exporting a range of High Quality light Engineering Products and having state of the art manufacturing facilities and ISO Certification for its Domestic and International customers to select 1 Chief Financial Officer ( CFO ) and Preferably for joining in December,2025. KRA for this Senior Management-Executive Leadership role : -Take responsibility (either directly or via staff and would be Supported by a Young Team of High Performing Professionals ) for all cash management, investments, insurance, budgeting, and financial reporting, and help drive the company’s financial strategy and hiring needs. -Coordinate development of annual operating, capital, and program budgets, as well as reporting for the same. -Ensure cash flow is compatible with operations by overseeing day-to-day accounting, recording, reporting, and internal-control activities of the organization. -Would understand and analyse the the current accounting Practices and Trends. -Develop and implement best practices and tools to ensure a well-controlled yet flexible organization that has strong fiscal management, project coordination, cross-team communications, and workflows. -Comply with national and local financial requirements by studying existing and new legislation and taking appropriate action. Job Responsibilities : -Work with senior managers to efficiently develop budget proposals, provide access to project finance information, and ensure contract/grant compliance and reporting. - Research revenue opportunities and economic trends, analyze internal operations, and identify areas for cost reduction and process enhancement. -Perform risk management through analysis of company liabilities and investments, and evaluate and manage capital structure and fundraising initiatives. -Monitor business performance with tracking tools

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or UK Remote | 💰 £150,000 - £200, 000 + Equity + Benefits About our Data Discipline We have a strong culture of data-driven decision making across the whole company. Data is central to how we understand our customers, shape our products, manage risk and grow Monzo sustainably. We believe in empowering teams with high-quality, trusted data and self-serve analytics, while creating space for Data practitioners to focus on the highest-impact questions, opportunities and decisions. Our Data discipline is centralised, but deeply embedded in Monzo’s product areas. Data Scientists, Analytics Engineers, Machine Learning Engineers and Analysts work in cross-functional squads alongside Engineers, Designers, Product Managers, Marketers and other specialists. This means Data is not a downstream service: we help shape strategy, challenge thinking, build the data foundations teams need to move quickly, and share accountability for customer and commercial outcomes. Our Payments team ⭐ At Monzo, payments are more than just moving money from A to B. They are a core part of how customers experience trust, speed, and financial control

This role sits as part of a first line compliance function to ensure that functionality, processes and reporting outputs built for Reporting Ops meet the regulatory criteria as documented by the relevant regulatory instructions, regulations and policies. This role will involve close liaison with both Finance Change colleagues as well as colleagues in Reporting Operations interacting with the Reporting Owner for the Liquidity Regulatory Reports. Role Profile and Description of Responsibility Build and lead a BAU compliance function to ensure that the Regulatory Reporting functionality built and released quarterly under various change epics delivered by Finance Change comply with the reporting requirements as detailed under the Reporting Instructions and Reporting Regulations from the local or group regulator, as well as any additional Policy Interpretations provided by Group Reg. Policy or local policy representatives. The role will involve close liaison with the Product Owner for Liquidity Reporting in identifying the epics delivered in the previous release to be tested for compliance; documenting the test cases required for compliance testing by reference to required instructions, regulations and policy; managing test execution by a small team of dedicated testers; analyse test results for compliance with the testers; flag any items which require further investigation; identify any cases of non-compliance back to stakeholders including Reporting Ops and Report Owners; provide rapid feedback to the build team in cases of re-build required for compliance. Required Skill Set Deep subject matter knowledge and expertise in liquidity reporting constructs (for example LCR, NSFR, Maturity Ladders, etc). Knowledge of core regulatory requirements including reporting instructions, regulations (for example CRR), and internal policies for liquidity reporting Documentation capability to document test cases for testing whether delivered build output complies with reg & policy

A Career with Point72’s Investment Professional Engagement Team Our Investment Professional Engagement (IPE) team is dedicated to helping our investment professionals build durable careers and become better investors. Working in close partnership with teams across the Fundamental Equities business, IPE builds capabilities at the intersection of talent cultivation and technology by creating and delivering content and training, driving adoption of the firm's tools, and supporting the long-term career progression of our investment talent. What you’ll do Partner with coaches and other subject matter experts across Fundamental Equities management to turn their ideas, frameworks, and methods into clear, practical content for investment professionals Create stock case studies based on realistic long/short investment setups, distilling complex situations into rigorous, teachable materials without losing the nuance that makes them useful Develop and maintain a library of investment frameworks, research guides, templates, checklists, worked examples, and other resources that reflect how fundamental research is done at the desk Keep materials current as markets, companies, research approaches, and analyst workflows evolve, while maintaining consistent standards for quality and usability Partner with technology and AI teams to translate approved tools into practical research applications and coaching content that can make workflows more effective Collaborate with Compliance on the appropriate use of live tickers, third-party data, proprietary information, and AI tools in created materials Support content roadmaps for various teams by identifying gaps, anticipating new needs, and helping prioritize and deliver the materials that will have the greatest impact Build strong relationships across investment, coaching, technology, and Fundamental Equities management teams to align perspectives and drive projects forward What’s required 3+ years of experience as a fundamental long/shor

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market land

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. ROLE OVERVIEW Fanatics Commerce is seeking an experienced and results-driven AR Collections Supervisor to provide operational leadership across the Accounts Receivable Collections organization within the Invoice-to-Cash (ITC) function, overseeing a team of AR Collections Analysts and offshore/shared services associates responsible for assigned customer portfolios. This role is accountable for collection performance, aging and portfolio risk, escalation management, and consistent adherence to established processes, partnering closely with Sales, Finance, Customer Service, and Operations to resolve escalated account issues and mitigate financial risk. The AR Collections Supervisor delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Team & Leadership Impact (Build Championship Teams) Cross-Functional Leadership: • Partner with Sales, Customer Service, Billing, Deductions, Finance, and Operations to remove barriers to collection and ensure timely resolution of customer issues, driving alignment across the Invoice-to-Cash function. •

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Join Hasbro as a Systems Specialist for a maternity leave replacement (12 months) and become an integral part of our innovative team in Longueuil, QC, Canada. This outstanding opportunity will enable you to work on developing, improving, testing, and maintaining the system environments that support our creative and product development. You’ll work closely with experienced professionals to ensure our systems operate flawlessly and efficiently! What You Will Perform as a Systems Specialist: Develop, improve, and test automated workflows supporting the development of products, digital, and printed assets. Support User-Acceptance-Testing of new or updated workflows by fixing errors and implementing testers’ change requests. Propose and build solutions to help systems’ day-to-day users manage their workload and measure their performance through data dashboards. Build searches to pull data from systems to support reports developed or used by day-to-day users and Data Analysts. Develop training materials and conduct training sessions for new system users. Collaborate with Digital Content Specialists to define and apply conventions and guidelines for maintaining an organized and secure systems environment. Identify new system features to improve day-to-day users’ efficiency and share with Process Managers and Digital Content Specialists. What You Will Bring: Excellent analytical skills and ability to solve problems. Ability to understand complex processes and transform them into automated workflows. Organizational skills with high

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up. We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone. You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought. Key responsibilities Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback Define how a change is classified and ro

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Risk Automation ML team automates Risk and Compliance investigations and decision making at Block through the application of agentic and generative AI technology. We work globally with partners in Product, Engineering and Operations to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We are leveraging agentic and generative AI as an integral part of our toolkit to fulfill our mission. Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity and brand violations) for trained Operations analyst review and decisioning. We are leveraging generative AI to accelerate historically manually intensive analyst workflows; by adding features in the investigative UX to accelerate agent productivity and enable them to make faster, more informed and accurate decisions (aka Copilots). We also automate workflows end to end completely eliminating the need for manual reviews (aka Autopilots). This is a new and significant opportunity to rethink and optimize Risk Operations at Block at scale. This is an IC role, but the senior level has significant leadership responsibilities that include owning, and driving strategic roadm

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 Enterprise Technology Team The Enterprise Technology team builds and delivers the secure, scalable systems that power how our business runs. Our People Technology Team sits at the heart of this work, overseeing the full Hire-to-Retire technical ecosystem—including core applications like Workday, Greenhouse, and Cornerstone—and ensuring these platforms evolve alongside the company's growth. We partner closely with HR, Talent Acquisition, Talent Management, and Business Operations to bring data-driven, compliant, and innovative solutions to life. The Opportunity Reporting to the Director of People Technology, this role will serve as a Delivery Lead and Principal Product Analyst for Okta's People Technology portfolio, focused on the Growth & Talent pod. In this broad role, you will lead complex, multi-system initiatives spanning Talent Acquisition, Talent Management, Performance, Learning, and Career Development. You will serve as the crucial conduit between Product Management, Recruiting/Talent Acquisition leadership, Talent Management, and People Operations, driving technical execution against a prioritized backlog to align with Okta's strategic workforce goals. What You'll Be Doing Strategic Leadership: Technically scope and lead the delivery of multi-quarter, high-visibility, executive-sponsored projects across the Growth & Talent ecosystem (e.g., Greenhouse ATS integration & workflows, Cornerstone L&D platform optimization, and Workday