Expert Trade Analyst Jobs

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the heart of how Sapience AI reasons. You lead the neuro-symbolic approach that combines symbolic knowledge, structure, and rules with neural and language-model capability, the approach that lets the platform reason over a community’s expertise with both flexibility and rigor. You own the direction of the COGENT architecture: how it fuses the KO (knowledge object) graph and symbolic reasoning with neural models, how it stays trustworthy and explainable, and how it advances over time. You lead a specialized team and partner across research, applied AI, and knowledge graph engineering to turn a hard idea into a working system at the center of MINERVA. Why this role exists Pure neural systems are fluent but can be confidently wrong, and they struggle to explain themselves. Professional communities cannot act on answers they cannot trust or trace. Collective intelligence needs reasoning that is both flexible and grounded. Bringing symbolic structure and neural capability together is one of the hardest and most valuable problems in applied AI. It is also the core of what makes Sapience AI different. The Head of Neuro-Symbolic AI owns that problem. You set the

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the role We're hiring a Staff Content Designer to be the voice of investing at Wealthsimple. The person who takes calendar spreads and margin calls and makes them make sense, without dumbing it down or drowning it with jargon. You’ll be embedded on product teams and partner closely with design, product, and engineering to build experiences that our clients love. This isn't a polish-the-copy-at-the-end role. You'll be in the room shaping what we build and how to position our products — not just the final words on the screen. What you'll do Write the hard stuff. Options, margin trading, predictions, perpetuals, futures — you'll write and rewrite the content so it all makes sense to a first-time investor and a seasoned trader. Work AI-first. From shipping your own code changes to prototyping and research — you’ll use AI to increase your impact in every part of the product lifecycle. Collaborate with product and design on key initiatives. You’ll work early and often with product and design to shape the product direction for big, challenging projects — not just tighten the copy once the decisions are already made. Make the team faster and better, not just yourself. Templates, patterns, content standards, workflows, and of course AI. You’ll find ways to automate processes to scale content while ensuring quality. Skills you bring 7+ years in c

VTS's Lease integrations connect our platform to the property management and accounting systems - Yardi, MRI, JDE, and others - that our customers run their portfolios on. When those integrations are healthy, data flows automatically and customers trust what they see in VTS. The Integrations and API Support Advisor owns the health of these integrations end-to-end - proactively monitoring for failures before customers notice them, and resolving the inbound requests that come in when something breaks or needs to change. Success in this role is simple to state and hard to deliver: every integration stays active, and customers can always rely on the integrity of the data VTS is showing them. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What you can expect as an Integrations and API Support Advisor: At VTS, you'll join the Integrations Support team as a critical layer between our customers' source systems and the VTS platform. You'll: Own Integration Health : Monitor active Yardi, MRI, SAP, and custom API integrations for failures, stalled syncs, and missed feeds. Proactively identify and resolve issues - such as failed nightly imports, integrations stuck in "processing," or ETL files not arriving via SFTP - before they escalate into customer-reported problems. Resolve Data Integrity Issues : Investigate and fix discrepancies between VTS and source systems, including mismatched square footage, missing or duplicated leases, orphaned records, incorrect rent or lease terms, and unit/space mapping errors. Trace root causes across the integration pipeline rather than just patching symptoms. Manage the Customer Support Queue : Respond to and resolve inbound tickets covering the full integration lifecycle - API credential and access requests, asset archiving and disposition processing, source ID/BU remapping, stacking and site plan corrections, and MRI/Yardi version upgrades and migrations. Par

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 Anthropic's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites. Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization. Key responsibilities Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines. Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams. Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU). Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelera

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Define and lead the global real-time communications strategy and roadmap to support the firm’s trading, research, and collaboration needs Build and scale enterprise-grade trader voice and trading-floor communications platforms that deliver low-latency, high-availability, and measurable business impact Lead, recruit, and mentor a large, cross-functional team of engineers, operators, and product managers to deliver continuous improvement and operational excellence Design and execute end-to-end migrations to cloud telephony and contact center platforms, including planning, cutover, and post-deployment optimization Partner with trading desks, business leaders, and security teams to translate business requirements into resilient, auditable communications services and service-level agreements Manage relationships with major vendors and service providers, negotiating contracts and driving vendor accountability for delivery and support Drive operational readiness through

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 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. As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Key responsibilities Lead. This is a role where leadership trumps management and process. You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s)

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer, Frontend (Coinbase Advisor - Agentic Trading) We're hiring a Senior Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily frontend on a full-stack team. You'll own the interfaces that make agentic trading feel fast, clear, and trustworthy for millions of customers, and you'll follow that work into our Go services and LLM layer when the product calls for it. What you'll do: &

Who We Are Inorsa is an AI-first automation platform transforming how mission-critical infrastructure is designed, maintained, and upgraded. We serve telecom, fiber, data centers, and more, automating everything from document ingestion to drawing generation. Our platform helps infrastructure owners build faster, safer, and more cost-effectively. We're a fast-growing, highly technical team solving complex engineering problems. Every member of our team has a direct impact on product quality, customer outcomes, and how infrastructure is delivered now and into the future. Why Now As our agentic platform matures and enterprise deployments deepen, we need a technical leader who can close the gap between AI capability and production-grade reliability. We aren't competing on general intelligence—we're winning by being the deepest AI platform in the engineering vertical. This role is the tip of that spear. What You'll Do Architect Agentic Workflows Design and implement multi-actor state machines using LangGraph, including loops, error-recovery paths, and human-in-the-loop checkpoints Own the observability and evaluation strategy using LangSmith: trace agentic paths, version prompts, and run regression tests against gold-standard engineering datasets Build custom evaluators (LLM-as-judge) and use traces to identify exactly where multi-step agentic chains fail in production Drive Vertical Domain Integration Collaborate directly with structural and telecom domain experts to encode specialized engineering knowledge into agentic tools Translate 30+ years of practitioner tribal knowledge into reliable, production-grade automation Work cross-functionally with engineers, product managers, and field teams to ensure AI outputs meet the accuracy standards required in high-stakes engineering environments Set the Technical Standard Lead by example on AI-native development: Cursor, Claude Code, GitHub Copilot, and equivalent tooling Automate the grunt work of coding to concentrate

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: You will lead a team of AI Tutors (full-time employees and contractors) responsible for delivering high-quality training data and evaluations that power SpaceXSI's models. You will set the standard for data quality on your projects, review work in the domain, ensure the accuracy and consistency of the data produced, and build operational excellence at the team level. This is a hands-on leadership role — you will both execute labeling/review work and continuously improve processes as we scale. RESPONSIBILITIES: Own end-to-end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale. Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement. Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices. Ensure strict guideline adherence, taxonomy management, and quality assurance processes. Drive efficiency by identifying and r

Expert Data Analyst About the Role We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. We are looking for an experienced Expert Data Analyst to provide services within a large-scale data and analytics programme in the financial services sector. The role combines advanced data analysis and transformation with responsibility for analytical workstreams. You will work with large-scale datasets, collaborate closely with business and technology stakeholders, and share expertise with other analysts within the team. The role offers exposure to sophisticated payment environments, modern security technologies, and transformation initiatives delivered for leading financial institutions. Key Responsibilities Coordinate complex data analysis and transformation activities across large-scale datasets Translate business requirements into effective data and analytical solutions Deliver hands-on data analysis using Python, SQL, and PySpark Support the development and improvement of data transformation pipelines Coordinate analytical workstreams and provide subject-matter support and knowledge sharing to other analysts Collaborate with business, technology, and data stakeholders Identify data issues, trends, and opportunities and communicate findings clearly Required Skills & Experience Strong hands-on experience with Python (upper-intermediate or above), SQL, and PySpark Experience working with large-scale datasets and data transformation pipelines Strong analytical and problem-solving skills Ability to translate business requirements into data solutions Experience coordinating analytical workstreams and sharing expertise with other analysts Strong stakeholder management and communication skills Experience within banking or financial services would be highly desirable Why Join Capco? At Capco, you will have the opportunity to join complex and business-c

Many Android apps struggle with slow loading speed, frequent crashes, and high battery consumption, which leads to poor user experience and app uninstallations. Users expect smooth and fast performance, but without proper technical improvements, apps often fail to meet these expectations. This is where android app performance optimization becomes essential to improve speed, stability, and overall responsiveness. It helps developers identify performance bottlenecks and enhance app efficiency for better user satisfaction. For businesses, this directly impacts retention and revenue growth.

About the Role OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes. What You'll Do Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities What We're Looking For Must-have Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred) 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas Proven track record of t

Expert Structural Analysis Engineer – Systems Stress — USA - North Charleston, Seychelles. Apply via Workday.

We're building the bank of The Free, and protecting users and resolving fraud reliably is core to our mission. We're transforming Fraud Ops from a reactive function into an AI-led capability that gets faster, smarter, and more accurate with every case. That transformation needs one person to own it end-to-end. Up for this challenge? Kick off your application by taking our assessment and find out if bunq is your perfect match! 🕵️ Take Ownership As our Fraud Expert for Partner Reports, you'll own the end-to-end handling of every fraud case that reaches bunq through an external partner, from the individual report to the systemic fix to AI-led transformation. Own every fraud report escalated by our partners yourself: banks, payment schemes, card networks, and other external parties flag suspicious or fraudulent activity tied to bunq accounts, and you make sure each one is investigated, resolved, and closed out with our partner, with no case falling through the cracks. Identify the failure patterns behind recurring or high-risk partner reports, own the structural fixes, and drive AI-led automation that lets partner-report handling scale through intelligence rather than headcount. Hold full KPI accountability for speed, accuracy, and partner and user satisfaction: you distinguish structural design flaws from noise, and you don't stop until the fix is permanent. You have deep knowledge of Fraud Operations, investigation methodologies, and the regulatory and partner obligations that govern cross-institutional fraud reporting (card schemes, correspondent banks, cross-border requirements). You have hands-on experience handling complex fraud cases and escalations, including those raised by external partners. You know how to diagnose operational problems with data and drive permanent structural fixes, not workarounds. You can design and implement AI-led workflows - you build processes with AI at the core and can own an automation roadmap end-to-end. You're an excellent communi

As a Chargebacks Expert, you will play a key role in protecting our users by ensuring Mastercard / Adyen disputes are handled accurately, fairly, and in line with Mastercard and PSD2 requirements. Taking end-to-end ownership of the chargeback process, you will leverage your expertise, together with AI, automation, and data-driven insights, to continuously strengthen our operations, scale our impact, and deliver a transparent, high-quality experience that gives users confidence every step of the way. Pro tip 💡: we love giving people a shot to grow into a role, but for this position Chargeback expertise is required. Take Ownership Maintain a single, central operational playbook and decision framework that defines the full end-to-end chargeback process from submission to closure. Define and track clear operational performance metrics to drive regular performance reviews and continuous improvement. Leverage AI and automation to streamline submission flows, support decision-making during investigations, and keep users proactively updated on their case status. Conduct regular gap analyses to identify structural inefficiencies and quality gaps, translating insights into actionable corrective action plans. Optimize the user-facing chargeback flow and communication templates to minimize friction and ensure clear, empathetic, and consistent support. Ensure full compliance with global payment regulations and card scheme rules, continuously updating guidelines to mitigate regulatory risks. You have an AI-first mindset: You love turning manual processes into scalable AI solutions, constantly seeking ways to automate operations and scale impact. You have deep Chargeback understanding: You possess strong expertise in chargebacks, cards operations, merchant disputes. You are a relentless problem solver: You hunt for the root cause of operational issues using data instead of opinions, ensuring permanent and systemic fixes. You possess a Get Shit Done mentality: You thrive on hands-