RCSA & Internal Control Analyst

Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Senior Team Lead

Senior Manager – Technology Transformation

Finance Analyst

Head of Card Operations

Finance Analyst III (Plant Operations)

Product Manager

Role Description: <ul><li>We are looking for an RCSA &amp; Internal Control Analyst to support the rollout and ongoing maintenance of the EMEA Risk and Control Self-Assessment (RCSA) framework and related internal control activities.</li><li>Working alongside the EMEA Risk &amp; Control Manager, the successful candidate will provide day-to-day operational support, including coordination, follow-up, documentation and data consolidation.</li><li>The role will help accelerate the rollout, improve consistency across countries and establish a sustainable long-term operating model, while allowing the EMEA Risk &amp; Control Manager to focus on governance, stakeholder management and overall framework oversight.</li><li>The successful candidate will support the rollout, documentation, testing and maintenance of country-level RCSAs and related internal control activities across EMEA. They will help ensure that risk and control information is accurately collected, structured, tracked and kept up to date in coordination with local stakeholders.</li></ul> Responsibilities: <ul><li>Support the implementation and ongoing development of the EMEA Risk and Control Self-Assessment (RCSA) framework, working with country teams to identify, assess and manage risks in line with the Groups risk management methodology.</li><li>Work collaboratively with stakeholders across a range of business functions, including Operations, Finance, Legal and Health, Safety, Security and Environment (HSSE), to understand local processes, identify potential risks and establish appropriate controls.</li><li>Support the identification and assessment of country-specific risks, documenting existing controls, potential gaps and compensating controls to help ensure risks are appropriately managed.</li><li>Develop and maintain local risk and control registers, ensuring information is accurate, up to date and aligned with regional requirements.</li><li>Work with local stakeholders to harmonise risk management approaches and control frameworks across EMEA, promoting consistency while taking account of country-specific requirements and differences in local maturity.</li><li>Support the implementation of the RCSA framework across EMEA countries, coordinating activities, gathering and consolidating information, monitoring progress and following up with stakeholders to ensure timely completion.</li><li>Support second-line (Line 2) control testing activities, including coordinating evidence collection, reviewing supporting documentation and following up on outstanding information or identified control gaps.</li><li>Contribute to compliance activities, including the ongoing monitoring and documentation of anti-corruption and accounting controls in support of Sapin II requirements.</li><li>Track action plans, remediation activities and outstanding issues, working with local stakeholders to monitor progress, address delays and ensure agreed actions are completed.</li><li>Build effective working relationships across countries and functions, encouraging collaboration, knowledge-sharing and consistent approaches to risk management in an international, matrixed organisation.</li><li>Identify opportunities to improve risk and control processes, documentation and procedures, contributing to the continuous development of a consistent and sustainable EMEA control framework.</li></ul> Requirements: Educational Qualifications <ul><li>A degree or equivalent professional experience in Risk Management, Business, Finance, Compliance or a related discipline would be advantageous.</li><li>Ongoing commitment to training and professional development in risk, compliance and audit processes.</li></ul> Relevant Skills and Experience <ul><li>2–5 years experience in risk management, internal controls, compliance or a related field.</li><li>Experience working with risk and compliance frameworks, including risk identification, assessment and control implementation.</li><li>Experience working in an international business or matrix organisation, engaging stakeholders across multiple countries and functions.</li><li>Good understanding of operational processes and internal controls across different business functions.</li><li>Strong organisational, analytical and communication skills, with the ability to manage multiple priorities and build effective working relationships.</li><li>Confident managing documentation, risk registers, trackers and supporting evidence, with strong attention to detail.</li><li>Able to work autonomously, take ownership of tasks and manage competing deadlines.</li></ul> Personal Characteristics &amp; Behaviours <ul><li>Resilient and adaptable: Comfortable navigating challenges, working through ambiguity and maintaining momentum when faced with competing priorities or differing levels of risk maturity across countries.</li><li>Curious and analytical: Naturally inquisitive, with the confidence to ask questions, challenge assumptions and develop an understanding of risks across different business functions.</li><li>A relationship builder: Able to establish trust, communicate effectively and work collaboratively with stakeholders at different levels and across different countries.</li><li>Structured in approach: Able to bring order to complex or ambiguous situations, organise information clearly and establish consistent ways of working.</li><li>Reliable and accountable: Takes ownership of responsibilities and works closely with the EMEA Risk &amp; Control Manager to support decision-making.</li><li>Collaborative and open-minded: Comfortable working across functions, receptive to different perspectives and motivated to improve how teams work together.</li></ul> Travel Requirements <ul><li>10–20% travel within the country, region and internationally may be required on an ad hoc or regular basis.</li></ul>

Responsibilities: As a member of our Software &amp; Platform Engineering team, you will:&nbsp; <ul><li>Develop traditional and serverless applications and services in an agile and collaborative environment using source control that integrate with data storage services/message buses and other architectural elements&nbsp;</li><li>Deploy these applications using features such as containers to the cloud, leveraging CI/CD to support this process, backed with good observability when running these in production&nbsp;</li><li>Ensure quality through the creation of documentation and use of unit/integration/contract testing with a consideration of security/performance requirements.&nbsp;</li></ul> Requirements: As a Software Engineer, you will:&nbsp; <ul><li>Design, develop, and implement cutting-edge digital applications to address unique business challenges across various industries.&nbsp;</li><li>Collaborate with cross-functional teams to create innovative and effective solutions.&nbsp;</li><li>Develop both traditional and serverless applications in an agile and collaborative environment, integrating with data storage services, message buses, and other architectural elements.&nbsp;</li><li>Use modern deployment methods, such as containers and cloud services, supported by CI/CD pipelines and strong production observability.&nbsp;</li><li>Ensure high-quality outcomes through robust documentation and comprehensive testing (unit, integration, and contract testing), considering security, accessibility, and performance requirements.&nbsp;</li></ul> We are looking for experience in the following skills:&nbsp; <ul><li>Industry experience in one of following: Java / Typescript / C# / Python / Go.&nbsp;</li><li>Experience with Cloud Native technologies on AWS.&nbsp;</li><li>Experience in building automation tools to support CI/CD pipelines. Set yourself apart:&nbsp;</li><li>A creative and analytical approach to problem-solving.&nbsp;</li><li>Strong debugging and troubleshooting skills to resolve complex technical issues.&nbsp;</li><li>Excellent communication and collaboration skills to work effectively in diverse teams.&nbsp;</li><li>Proven experience shaping and delivering work across small to medium-sized projects&nbsp;</li><li>Experience in Financial Services.&nbsp;</li></ul>

Responsibilities: Deploy and Land: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region.</li><li>Cover discovery, scoping, development, integration, user acceptance testing (UAT), hypercare and rollout.</li><li>Embed with operations.</li><li>Participate in business stand-ups.</li><li>Visit the ramp and cargo floor.</li><li>Understand local data realities rather than making assumptions.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data.</li><li>Avoid handing over prototypes for someone else to productionise.</li><li>Scale deployment by reducing the cost and time required to deploy solutions across additional stations.</li><li>Achieve this through reusable integrations, configuration and runbooks.</li></ul> Build on the Platform, Not Around It: <ul><li>Consume data through the semantic layer and governed data platform.</li><li>Avoid parallel pipelines, local definitions and workarounds.</li><li>Apply Centre of Excellence (CoE) patterns and guardrails.</li><li>Follow reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows.</li><li>Implement RAG and retrieval patterns.</li><li>Implement agentic and tool-use patterns.</li><li>Apply evaluation frameworks.</li><li>Establish observability.</li><li>Maintain production cost control.</li></ul> Make Insight Self-Service: <ul><li>Build data products, not report queues.</li><li>Design governed, reusable datasets and semantic models.</li><li>Enable operations teams, airlines and forwarders to answer their own questions.</li><li>Put insight in front of the customer.</li><li>Deliver station and customer-facing analytics.</li><li>Enable natural-language access to operational data.</li><li>Ensure appropriate access, residency and confidentiality controls.</li><li>Design for the user, not the requester.</li><li>Ensure every product identifies the decision it changes and the person responsible for making it.</li><li>Instrument usage.</li><li>Retire products that are not used.</li><li>Consolidate fragmented reporting rather than extending it.</li></ul> Close the Loop: <ul><li>Feed field learnings back.</li><li>Convert integration problems into hardened patterns for the CoE and requirements for the platform team.</li><li>Own adoption and benefits.</li><li>Instrument deployments.</li><li>Track usage and benefits against the business case.</li><li>Report results accurately.</li><li>Be the technical face to the business and customers.</li><li>Translate between operations, the CoE and platform engineering.</li><li>Success in the First 12 Months</li></ul> Requirements: Experience: <ul><li>6+ years of experience in software or ML engineering.</li><li>Experience must include customer-facing or business-embedded delivery.</li><li>Demonstrated track record of scoping and delivering complex systems end to end in ambiguous, fast-moving environments.</li><li>Ability to remain accountable after go-live.</li><li>Production experience with LLM or ML systems.</li><li>Experience with prompt and agent design.</li><li>Experience with RAG.</li><li>Experience with evaluation frameworks.</li><li>Experience with deployment at scale.</li><li>Understanding of how model behaviour influences product experience.</li><li>Strong Python and API development skills.</li><li>Experience with FastAPI or equivalent.</li><li>Comfortable working across backend and frontend development.</li><li>Ability to build a working system independently.</li><li>Practical experience with Docker.</li><li>Practical experience with Kubernetes.</li><li>Practical experience with CI/CD.</li><li>Practical experience with cloud data platforms.</li><li>Experience integrating batch and real-time data against complex enterprise data sources.</li><li>Strong understanding of analytics.</li><li>Experience with semantic and dimensional modelling.</li><li>Knowledge of modern BI.</li><li>Experience designing data products that non-technical and external users can operate independently.</li><li>Aviation, logistics or complex operations experience is advantageous but not mandatory.</li><li>Willingness to learn operations directly from the operational floor is essential.</li></ul> Qualifications: <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or a related field.</li></ul>

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead &amp; participate in the design, development, and maintenance of FMF-related applications.&nbsp;&nbsp;</li><li>Conduct impact analysis and internal data mapping during the design phase.&nbsp;&nbsp;</li><li>Collaborate with business analysts and stakeholders to finalize technical requirements.&nbsp;&nbsp;</li><li>Perform defect analysis and resolution.&nbsp;&nbsp;</li><li>Write and maintain Unix/Linux shell scripts to support automation and integration.&nbsp;&nbsp;</li><li>Execute SQL queries and updates to support application logic and reporting.&nbsp;&nbsp;</li><li>Manage and mentor junior developers, ensuring quality and timely delivery.&nbsp;&nbsp;</li><li>Coordinate with testing, infrastructure, and compliance teams to ensure smooth deployment and support.&nbsp;&nbsp;</li><li>Provide regular updates to project managers and escalate risks/issues with proposed resolutions.&nbsp;&nbsp;</li><li>Lead technical implementation of vendor products (e.g., Firco™ Continuity).&nbsp;&nbsp;</li><li>Perform gap analysis between internal requirements and vendor product capabilities.&nbsp;&nbsp;</li><li>Liaise with vendors to address product limitations, customization needs, and integration challenges.&nbsp;&nbsp;</li><li>Ensure compliance with internal standards and regulatory requirements during implementation.&nbsp;&nbsp;</li><li>Document technical specifications, deployment procedures, and support guides.&nbsp;</li></ul> Requirements&nbsp;&nbsp; <ul><li>Experienced in software development roles, with at least 2 years in a senior or lead capacity.&nbsp;&nbsp;</li><li>Proven eperience in banking or financial services, especially in compliance or payments.&nbsp;&nbsp;</li><li>Strong understanding of SDLC processes and experience in technical design and impact analysis.&nbsp;&nbsp;</li><li>Experience implementing and managing vendor products in enterprise environments.&nbsp;&nbsp;</li><li>Proficient in Unix/Linux shell scripting and SQL.&nbsp;&nbsp;</li><li>Hands-on experience with Java for defect resolution and enhancements.&nbsp;&nbsp;</li><li>Familiarity with payment technologies (SWIFT messaging, transaction flows) and AML systems&nbsp;&nbsp;</li><li>Experience with DevOps practices and CI/CD tools (Jenkins, Artifactory, SonarQube) will be an added&nbsp;</li><li>advantage&nbsp;&nbsp;</li><li>Degree in Computer Science, Engineering, or a related field.&nbsp;&nbsp;</li><li>Additional certifications in payment or compliance technology are advantageous&nbsp;&nbsp;</li></ul>

Role Description: <ul><li>The role holder identifies and defines opportunities, builds the business case for each initiative, and leads delivery through internal technology functions and delivery partners. Initiatives are held to their intended outcomes, adoption and benefits, not go-live alone. This is a hands-on role. </li><li>The role holder personally designs, builds and deploys data, analytics, automation and AI solutions, and coordinates multidisciplinary teams.</li></ul> Responsibilities: <ul><li>Provide analysis and recommendations to help develop DHI’s technology, data and digital transformation agenda, for review by the Executive Director – Portfolio Operations and Intelligence.</li><li>Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.</li><li>Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.</li><li>Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision-making through data, analytics, automation and AI.</li><li>Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.</li><li>Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.</li><li>Build and maintain ETL/ELT processes and data transformation workflows.</li><li>Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.</li><li>Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end-to-end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.</li><li>Lead end-to-end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.</li><li>Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.</li></ul> Requirements: <ul><li>6 – 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.</li><li>Demonstrated experience personally taking a problem through to a production-grade product.</li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.</li><li>Advanced degree, such as an MBA, preferred.</li><li>Technology, data and digital transformation planning and roadmap development</li><li>Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry</li></ul>

Responsibilities: <ul><li>Responsible for all aspects of Accounts Payable, Accounts Receivable, Fixed Assets</li><li>Review transactions and documentation to ensure compliance with statutory and Group requirements.</li><li>Assist in cost monitoring and controls. Provide analytical support with insights on actual expenses and variances against budget</li><li>Work in a team to perform day-to-day accounting functions, month-end, quarter-end and year-end closing. These may include reconciliations, general ledger entries, Group and Statutory reporting.</li><li>Ensure timely and accurate completion of management accounts, notes to the accounts, cash flow projection and statutory and tax submission.</li><li>Provide support for the planning and budgeting exercise</li><li>Assist in system and process enhancements.</li><li>Liaise with external internal auditors, tax agent, company secretary, regulatory authorities, relationship manager and other parties to ensure compliance with all matters relating to audit, tax, statutory and Group requirements.</li><li>Perform any ad-hoc tasks and responsibilities which the superior may assign from time to time</li></ul> Requirements: <ul><li>Minimum 5 years of working experience in Finance, Accounting or Audit functions</li><li>Have a Bachelor Degree in Accounting or Finance or a professional accounting qualification (e.g ACCA/ CPA Australia/ CIMA)</li><li>Have working experience in a shared service centre / Global Business Service centre experience will be an advantage</li><li>Working knowledge and experience in SAP system is a must</li></ul>

Responsibilities: <ul><li>Lead the COPC team</li><li>Lead and responsible for day-to-daye operations to ensure SLAs and all deliverables are met</li><li>Streamline processes to reduce operating cost and turnaround time without compromising quality and risk.&nbsp;</li><li>Conduct internal reviews / tests to ensure compliance</li><li>Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.&nbsp;&nbsp;</li><li>Proactively manage and resolve customers’ and business units’ feedback and queries promptly</li><li>Drive operations related projects &amp; process improvements</li><li>Lead and coach staff to a high standard of performance, productivity and service quality</li><li>Ensure that the Bank’s policies, guidelines, operations control and compliance requirements are strictly adhered to;</li><li>Ensure that operation procedures are kept up to-date;</li><li>Identify opportunities to improve productivity, efficiency and service quality in the team and within the division while assuming the role as a mentor to coach staff to ensure high standard of performance, productivity and service quality</li><li>Candidate must come from banking industry and done / doing cards operations. This is to manage total HC of 70 (incl TL &amp; Dep TL).</li></ul> Requirements: <ul><li>Bachelor’s degree</li><li>At least 10 years of retail banking operations, especially in Credit/Debit Cards Operations&nbsp;</li><li>At least 10 years of team management experience with a minimum size of 20</li><li>Able to multi-task and cope with change and diversity in a fast-paced environment</li><li>Experience in change management projects, including successful RPA and automation implementations.</li><li>Strong organizational and management skills with strong leadership qualities</li><li>Strong analytical and problem-solving skills</li><li>Strong interpersonal and communication skills with excellent verbal/written communication and interpersonal skills</li><li>Ability to think objectively and think outside the box when analyzing issues</li><li>Ability to work under pressure</li></ul>

Responsibilities: Planning and Budgeting&nbsp;: <ul><li>Assist on annual budget preparation.&nbsp;</li><li>Assist on monthly forecast preparation.&nbsp;</li><li>Track weekly forecast variance. In order to provide accurate and timely reports.&nbsp;&nbsp;</li></ul> Inventory Risk tracking/Analysis&nbsp;: <ul><li>Inventory reserve preparation&nbsp;</li><li>High light inventory risks and opportunities monthly&nbsp;</li><li>Monitor inventory physical count.&nbsp;</li><li>In order to comply with corporate policies and risk control&nbsp;&nbsp;</li></ul> Costing&nbsp;accounting&nbsp;: <ul><li>Data prepare(Mater master/Routine/Std cost);&nbsp;</li><li>Month ending JE booking&nbsp;</li><li>PPV program and analysis&nbsp;</li><li>Mat. usage analyzing&nbsp;&nbsp;</li><li>Production scrap report preparing&nbsp;&nbsp;</li></ul> FA accounting&nbsp;: <ul><li>Familiar with Capital Assets policy and comply with the policy(Include local policy)；&nbsp;</li><li>Prepare FA management report(Acquisitions, disposal, transfer etc.) and leading fixed&nbsp;</li><li>assets physical count&nbsp;</li><li>Issuing Asset Tags to assets responsible department&nbsp;</li><li>Intercompany Transfers of Fixed Assets data preparing and follow to financial posting&nbsp;</li><li>Follow Open PO&amp;IO&amp;CIP tracking report by month&nbsp;</li><li>CER review and budget control with report and management.&nbsp;</li></ul> Requirements: <ul><li>At least bachelor’s degree in finance/accounting/taxation or related.&nbsp;</li><li>Over 7-10 years working experience in Finance, costing managerial position is preferred&nbsp;&nbsp;</li><li>Good knowledge and experience in costing of manufacturing.&nbsp;Understand how to manage&nbsp;</li><li>and improve Mfg. variance.&nbsp;&nbsp;</li><li>Good knowledge and experience in SAP.&nbsp;</li><li>Fluent English Mandarin, both written and oral (Added Advantage)</li><li>Strong will to learn and develop the skills.&nbsp;</li></ul>

Responsibilities : <ul><li>Engage executive and corporate users to understand needs, decision workflows and pain points.</li><li>Translate requirements into clear product definitions, user stories and acceptance criteria.</li><li>Run structured discovery and experimentation to validate value and feasibility before build commitments are made.</li><li>Identify opportunities to extend assigned products from task-level support to broader workflow automation, and contribute these to the product roadmap.&nbsp;</li><li>Own the end-to-end delivery of assigned AI products, including Rocket, from definition through to launch.</li><li>Ensure quality, usability and readiness criteria are met before release to a senior user base.&nbsp;</li><li>Own assigned products after launch, driving iterative improvement based on usage data and user feedback.</li><li>Define, track and report product KPIs covering adoption, usage, accuracy, satisfaction and time saved.</li><li>Register and maintain AI use cases for assigned products within the agreed portfolio management process.&nbsp;</li><li>Act as the day-to-day product interface for executive and corporate stakeholders.&nbsp;</li></ul> Requirements: <ul><li>3 – 6 years of experience in digital or AI product management, product ownership or equivalent delivery roles.&nbsp;</li><li>Bachelor’s degree in a quantitative field such as information technology, business, finance, engineering or mathematics.&nbsp;</li><li>Hands-on experience in product management across discovery, delivery and lifecycle.&nbsp;</li><li>Exposure to AI, automation or data-driven products.&nbsp;</li></ul>

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143 financial report Jobs found

RCSA & Internal Control Analyst

Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Senior Team Lead

Senior Manager – Technology Transformation

Finance Analyst

Head of Card Operations

Finance Analyst III (Plant Operations)

Product Manager

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143 financial report Jobs found

RCSA & Internal Control Analyst

Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Senior Team Lead

Senior Manager – Technology Transformation

Finance Analyst

Head of Card Operations

Finance Analyst III (Plant Operations)

Product Manager

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.