Finance And Strategy Manager Jobs

Point72 Academy 2026 Investment Analyst Program for Experienced Professionals – Singapore We’re training the next generation of Point72 discretionary investment professionals. The Point72 Academy Program is a ten-month paid training program designed to introduce you to the buy-side and prepare you for a potential career as a Fundamental Equity Financial Analyst at Point72. Upon successfully graduating from the Academy, you will have the opportunity to be placed in a role on a fundamental equity investing team. As an analyst at Point72, you will benefit from our mentorship culture and ongoing professional development resources that are dedicated to your continued growth beyond the Academy. WHAT YOU’LL DO: Learn the fundamental research and analysis skills needed to be an analyst at Point72 and apply intellectual curiosity in a role that values creativity, autonomy, and analytical rigor. Develop sophisticated company analysis and modeling skills from our Academy faculty, investment professionals and professors from some of the world’s leading universities. Learn statistics, accounting, financial modeling, data analysis, coding, and more. Complete a compliance training curriculum to prepare you for an analyst role. For all Academy Associates, at least a portion of this training will take place in our New York City office. Apply the skills you’ve developed to real-life situations as you rotate with two investing teams. Gain firsthand experience and valuable mentorship from our investment professionals during your rotations. Upon Successful Graduation: The Analyst Role Upon the successful completion of the Academy, you’ll have the opportunity to interview for an equity research analyst role at Point72, where you’ll work closely with your portfolio manager and team to develop a deep understanding of companies across industries and around the world. Through fundamental research and financial analysis, you’ll attempt to see change before it happens and turn th

Must be based in Vancouver The role We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on. What you'll do Design and operate our cloud data platform: ingestion, transformation, orchestration and serving. Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage. Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status. Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop. Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring. Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control. What you'll bring Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design. Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator. Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals. You can reaso

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

Job Title: IFRS About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Requirements: JD for IFRS : Knowledge & Experience / Qualifications: · Background as a qualified accountant would be advantageous but is not essential. · Experience working in Financial Reporting (FINREP, IFRS , IFRS 9) either in BAU or Change roles, where an understanding in IFRS reporting requirements and end to end process would be advantageous but is not essential. · Techno-finance professional with experience of working in data heavy environment/s. · Overall experience in banking/finance/regulatory environment. · At least 5 years of experience on reporting focused BA roles and experience

Role purpose This role is within the Design capability for Finance on the cloud under Transformation Family. Requirement Analysis & Design team is a team formed under change delivery and this role is expected to support Finance in the cloud design & implementation work India. The team consist of 30-40 Business analysts who are Design business analyst with techno-functional skills and subject matter experts in Liquidity reporting/ ALCM domain. There are quarterly/monthly releases planned for the current production system and the Requirement & design team is involved in requirement analysis, functional solution design, requirements translation into deliverables, delivery tracking during the release and support the program/project manager. Governance and Committee Memberships NA Principal Accountabilities and Responsibilities The principal responsibility of the Business Analysis job category is to manage and execute analysis activity for one or more projects, programmes of Liquidity Reporting. The role holder may be in a variety of areas of HSBC, they may be in projects as well as in established BAU teams. It is possible that the Business Analyst will work on multiple projects, programmes or value streams simultaneously. Primary responsibilities & accountability includes the following- · Lead cloud requirements (L1 & L2- Mandatory regulatory requirement, system enhancements, output requirements) · Work on finding the optimal design solution of the requirements by interacting with different stakeholders. · Ensuring all the requisite project documents (functional designs, L2 solution, technical design, etc) are prepared & maintained. · Involved in the various stages of Change Delivery cycle (design, testing, implementation). · Engage with stakeholders to en

Job Title: Liquidity - BA Reporting Applying predefined regulatory rules and mappings to support regulatory submissions under guidance/supervision. Basic variance analysis and reconciliation activities Understanding and applying documented procedures for regulatory reporting. Regulatory impact assessments and benchmarking activities using predefined methodologies, with interpretation performed under supervision. Strong understanding of regulatory reporting frameworks (PRA, EBA, ECB, Basel, Liquidity, Capital, IRRBB) Solid grounding in finance, accounting, balance sheet & RWAs. Proven experience working in large, global financial institutions Documenting business and functional requirements.. Experience in project governance, RAID/status reporting, steerco delivery, and coordinating across BA/IT/testing workstreams. Exposure to controls frameworks, audit readiness, and issue remediation within regulatory reporting environments. Familiarity with collateral management, intraday liquidity, or supply chain management reporting domains. Experience with reporting remediation, communications delivery, or governance within regulatory change programmes Desirable: Provides subject matter expertise and judgement to assess and resolve complex, ambiguous, or emerging regulatory reporting requirements (e.g. PRA, ECB), where established procedures or precedents may not exist

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We're looking for a Workato/Boomi Integration Engineer to build and support enterprise automation, with a focus on Legal systems integration (CLM, e-signature, matter management, compliance). You'll work across iPaaS, APIs, and AI/agentic tooling (Workato Genie, AI Skills, MCP servers) to connect Legal and other business systems. Responsibilities: Design and build Recipes and process automations across multiple systems, including AI-powered workflows using Workato Genie and MCP servers. Build and support AI Agents (Genies) for Legal and business-process automation, including prompt design and IDP for unstructured Legal content (contracts, filings). Design and manage secure API endpoints (REST/SOAP) and SFTP connections; build ETL/data-sync pipelines across formats (JSON, XML, CSV, EDI). Deploy and manage On-Premises Agents (OPA) for secure, behind-firewall connectivity. Maintain platform environments and security (RBAC, SSO, versioning); monitor jobs and troubleshoot failures. Build employee-facing tools (Workbot/ChatOps, Workflow/AgentX Apps, Slack integrations) with human-in-the-loop steps. Integrate business applications (CRM, HR, Finance, LMS, Legal, Budget & Forecast) via Boomi, with emphasis on Legal, Financial, and Supply Chain integrations. Write and optimize SQL/PL-SQL and custom scripts (Java/Groovy/JavaScript/Python); manage code via Git/GitHub; provide production support and on-call as needed. Partner with Legal, Compliance, and IT stakeholders to gather requirements and translate them into working integrations. Experience: 6–8 years of integration/automation experience, with hands-on Workato and Boomi. 4–6 years building and managing APIs (API Gateway, OAuth/SAML/JWT) and SFTP-based file transfers. 2+ years supporting Legal systems integrations (CLM, e-signature, matter management, c

Location Details: Gurugram, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our team The Corporate Development team plays a key role in GoDaddy’s growth. They find industry trends and build relationships with partners. They identify, negotiate, structure, and finalize strategic acquisitions and investments. We are seeing a Corporate Development Manager to join our team! This Manager, reporting to GoDaddy's Head of Corporate Development, will support transaction teams. Their role is to drive growth and improve GoDaddy's market position with capital deployments and business combinations. This role plays an essential part in crafting our future growth through investments and acquisitions. It brings in new and innovative capabilities, improves existing ones, and grows our footprint and market opportunities. You will work across all aspects of inorganic growth, helping identify and build a pipeline of investment and acquisition opportunities. You will independently own meaningful initiatives throughout the deal lifecycle. This involves building financial forecasts, assessing value, and conducting detailed reviews. You will also assist with structuring and negotiations through signing and closing. What you'll get to do... Own significant workstreams across the end-to-end M&A process, including sourcing, evaluating, modeling, and supporting negotiation and closing Develop an outlook on potential transactions — including

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The Design Systems team creates the visual and interaction foundations that help Vanta deliver coherent, accessible, and high-quality experiences across the product. This team partners across the EPD organization to build the systems, patterns, and practices that enable product teams to move faster while maintaining a high bar for craft and usability. As a Staff Visual Product Designer focused on Design Systems at Vanta, you will shape the visual language of our product and the systems that bring it to life. You will define and evolve scalable patterns across our design and engineering ecosystems, partner closely with product designers and engineers, and help create a cohesive experience for customers navigating complex security and compliance workflows. You’ll combine exceptional visual craft with systems thinking, product judgment, and the ability to influence across teams. What you’ll do as a Staff Visual Product Designer, Design Systems at Vanta: Define and evolve Vanta’s visual design language across product surfaces, creating a cohesive, distinctive, and scalable customer experience. Set a high bar for visual craft across typography, color, layout, iconography, illustration, motion, data visualization, and interaction details. Partner with Design Systems, Product, Engineering, Research, Content Design, and Brand teams to translate customer and business needs into effective system-level solutions. Own and evolve foundational design system elements, including design tokens, component visual states, responsive behavior, theming, density, and platform-specific adaptations. Create reusable patterns and guidance that help produ