Own substantial connectivity work: Lead multiple medium-to-large features or service components from problem definition through design, implementation, validation, release readiness, and operational handoff.
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Own substantial connectivity work: Lead multiple medium-to-large features or service components from problem definition through design, implementation, validation, release readiness, and operational handoff.
• Lead portfolio dashboards, KPIs, and executive-level reporting. • Drive reporting automation, moving from manual spreadsheets to integrated digital dashboards and data pipelines.
Location: British Columbia Workplace: Hybrid As a Software Development Manager, you will oversee the planning, execution, and delivery of technical projects within your team. You’ll collaborate with Product, UX, and other stakeholders to prioritize work, guide technical direction, and ensure smooth delivery. You’ll also support the growth and well-being of team members through coaching, feedback, and development opportunities. Your leadership will help the team navigate challenges, align with product goals, and continuously improve their practices and performance. This is a people-first leadership role for someone who is passionate about developing talent, supporting delivery, and fostering collaboration. You’ll also serve as a bridge between your team and the broader organization, helping align business needs with technical implementation. This is a hybrid role based out of Safe Software's Surrey, BC headquarters. We have an immediate opening and are excited to find the right candidate to join our team. We encourage applicants from all backgrounds to apply. Even if you don’t meet every requirement listed, we value your unique experiences and perspectives. ABOUT THE TEAM The FME Engine team builds and maintains the core of Safe Software’s FME platform, the technology that powers data integration for organizations around the world. As SDM, you’ll lead two Engine teams, which build many of the transformers at the heart of FME. It’s computational, algorithm-rich work written primarily in C++ within the FME codebase. Both teams are strong and highly collaborative, with a habit of tackling problems together rather than working in silos, and they’re looking for a leader who will nurture that culture. WHAT YOU’LL BE DOING As a Software Development Manager, FME Engine, you will: - Lead a team of developers through coaching, feedback, and professional development. - Collaborate with Product, UX, and technical stakeholders to define and prioritize work. - Act as product owner for your teams, partnering with Product Managers to manage the backlog, prioritize features and internal improvements, and bring planned work to your teams. - Oversee technical delivery, helping manage project flow and addressing risks early. - Support architecture and design discussions to ensure alignment and inclusion of team voices. - Build a positive, inclusive team culture centred on collaboration and shared ownership. - Guide hiring, onboarding, and team growth with a focus on skill development and values alignment. - Champion continuous improvement and openness to change in tools, practices, and communication, including AI-assisted ways of working. - Act as a liaison between your team and other parts of the organization, advocating for both team and business needs. QUALIFICATIONS, SKILLS, AND COMPETENCIES At Safe Software, we welcome diverse backgrounds and experiences. While not all candidates will have everything listed, the most successful candidates will bring many of the following: What We’re Looking For: - 7+ years in software development, including 3+ years leading software teams as a people manager, team lead, or similar role. Direct people management experience strongly preferred. - Solid understanding of Agile development practices and software system design. - Strong working knowledge of C++, enough to understand the scope and design of your teams’ work. Hands-on coding is welcome but not expected. - Product owner experience in an Agile environment, including backlog management and feature prioritization. - Demonstrated interest and practical experience in adopting AI tools within a development team. - Strong communication and collaboration skills, with a focus on empathy and clarity. - Demonstrated ability to support team health and build inclusive, high-performing teams. - Ability to balance technical direction with team and business priorities. Nice to Have: - Exposure to Python, particularly for test frameworks. - Familiarity with Safe Software’s platform or similar technical domains. - Involvement in mentoring, DEI, or culture-building initiatives. - Knowledge of hiring practices, onboarding, and team-building techniques. - Experience with AI Coding Agents (e.g. Claude Code, GitHub Copilot). What You Can Expect When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.
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Настроить подборLocation: London, United Kingdom Workplace: hybrid About The Role: We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it. Objective and Key Results Objective (Q4 2026): AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised. Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting. Key Results you will be accountable for % Confirmed Fraud Rate of Enterprise-Initiated Transactions: Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit. % Legitimate Transaction Straight-Through Processing Rate: Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction. % Enterprise TM Decision Quality: Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls. % Enterprise TM Investigation Efficiency: Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing. What you will own KRs and Initiatives: Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership. TM Enterprise Program: Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance. TM framework: Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire). Effectiveness and KPIs: Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity. Regulatory assurance: Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence. Team leadership: Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists. What you'll do Define strategy and OKRs: Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio. Drive delivery: Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade-offs and escalate material risks early. Strengthen detection: Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release. Optimise performance: Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade-off thinking across risk, cost and customer friction. Automate and scale: Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML-based anomaly detection where they add value. Collaborate: Partner across the business: Product and Engineering: requirements, data needs, TM platform and rules-engine enhancements. Compliance and MLRO: policy alignment, risk assessments, regulatory reporting, audits and regulator engagement. Network and Partners: Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence. Operations and Investigations: alert-handling workflow, feedback loops, capacity and quality. Data and Analytics: data quality, lineage, model validation and reporting. Govern and report: Run the TM governance cadence: rule-change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees. Stay ahead of regulation: Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap. Manage vendors and budget: Manage vendor, tooling and budget for TM platforms, data sources and analytics. What you'll need Substantial experience in transaction monitoring and AML/financial crime, ideally in fintech, payments, money transfer or high-volume B2C, including leading a TM function or a large TM transformation. Proven track record owning OKRs/KRs and delivering multi-stream programs or initiatives, with strong planning, prioritisation and senior stakeholder management. Deep knowledge of TM scenario and rule design, tuning, threshold calibration, model governance and effectiveness testing, including backtesting and below-the-line testing. Strong understanding of AML/CTF regulation and expectations (e.g., FCA, EU AMLD/AMLR, FATF) and experience supporting regulator and auditor reviews across multiple jurisdictions. Solid grasp of fraud and financial crime typologies in cross-border payments, and awareness of emerging trends. Working knowledge of Visa and Mastercard monitoring programs and payment methods (cards, tokenization, Apple Pay, Google Pay, A2A, wallets). Data fluency: able to interrogate SQL/BI outputs, define KPIs and challenge analytical approaches; understanding of modern data platforms and automation. Experience leading and developing teams, including hiring, coaching and building clear ownership models. Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked. Clear communication and documentation, able to explain risk and data-driven decisions to technical and non-technical stakeholders, including executives. Nice to have Experience with rules engines, decisioning platforms or TM vendor solutions (selection, implementation, migration). Experience applying advanced anomaly detection (statistical, unsupervised or machine learning) to AML and fraud use cases, including model risk management. Hands-on SQL/Python background and experience building BI dashboards (Looker, Tableau, Power BI or similar). Familiarity with how financial crime operations run day to day, including case management and SAR/STR filing. Relevant certifications such as ACAMS, ICA or equivalent. What you'll achieve First 3 months Understand our products, corridors, TM framework, rules engine, data landscape and current KR/Initiative portfolio. Assess current TM coverage, effectiveness and regulatory exposure; identify the highest-priority gaps. Build relationships across Compliance, Product, Engineering, Network, Operations and Data. Confirm the TM Enterprise Program plan, governance and a baselined KR scorecard. By 6 months Run the TM Enterprise Program on an agreed roadmap with clear ownership, milestones and steering cadence. Launch a reliable KPI and MI suite for detection effectiveness, alert quality and team throughput. Deliver the first material coverage and tuning improvements, with documented performance reviews. Have the team structure and key hires in place. By 12 months Deliver the committed KRs and Initiatives, with measurable gains in detection effectiveness, false positive rate and operational efficiency. Be the recognised owner of enterprise TM, with a clean audit and regulator-ready evidence trail. Have introduced new detection approaches and automation that strengthen our compliance posture and scale with growth. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
Задачи: — вести развертывание оптоволоконной сети на площадке; — координировать работу подрядчиков и поставщиков; — решать технические вопросы, возникающие в процессе развертывания; — отслеживать и докладывать о ходе выполнения работ. Требования: — опыт работы с Microsoft Project, Smartsheet, Power BI, Jira, Tableau, Asana, Primavera P6; — навыки управления проектами и взаимодействия с поставщиками; — умение решать технические проблемы в области сетевых технологий. Условия: — работа на площадке в странах EMEA (Ирландия, Норвегия, Великобритания); — офисный формат работы.
Location: Cape Town, South Africa Job Description: Digital Marketing Specialist Location: Cape Town CBD, (Office-based) UK-aligned Working Hours: 10am-7pm (winter) and 11am-8pm (summer) Reports to: Head of Marketing (UK) Department: Marketing Type: Full-time Role Overview We are looking for a proactive, commercially minded Digital Marketing Specialist to join our growing Group Marketing team. This is a varied, hands-on role covering digital campaign execution, marketing automation, CRM, website management, content optimisation and performance reporting across multiple brands within the OneDome Group. You will play an important role in delivering marketing campaigns, improving customer journeys, building automated communications and identifying opportunities to increase engagement, lead generation and conversions. The ideal candidate will have at least 3 years' experience in digital marketing , be comfortable working across multiple channels and platforms, and have a strong interest in marketing technology, automation and data-driven performance improvement. We're looking for someone who enjoys combining creativity with technology, takes ownership of projects and is confident using digital tools to make marketing more effective and efficient. Key Responsibilities 1. Digital Marketing & Campaign Management Support the planning, execution and optimisation of digital marketing campaigns across the Group's brands. Coordinate multi-channel campaigns across email, websites, paid media and organic channels. Work with internal content, design and marketing teams to deliver campaign assets and communications. Build and optimise landing pages to support lead generation and customer acquisition. Identify opportunities to improve campaign performance, customer engagement and conversion rates. Support new product launches, promotional activities and wider marketing initiatives. 2. CRM & Marketing Automation Build, manage and optimise email marketing campaigns using HubSpot, Brevo and Microsoft Dynamics . Develop automated marketing workflows, including lead nurturing, onboarding, re-engagement and lifecycle communications. Manage audience segmentation, contact lists and campaign targeting. Support the integration of marketing platforms, websites, forms and CRM systems to improve lead capture and follow-up. Monitor email performance and optimise campaigns through testing and data analysis. Identify opportunities to automate repetitive marketing processes and improve operational efficiency. Explore new marketing technologies, including AI-powered tools, to improve campaign delivery and customer engagement. 3. Website Management & Conversion Optimisation Manage day-to-day website content updates and landing pages across multiple Group brands. Use WordPress and other website platforms to publish, maintain and optimise digital content. Work with internal development and IT teams to implement website improvements and resolve technical issues. Support conversion rate optimisation (CRO), including improvements to landing pages, forms and customer journeys. Ensure website content remains accurate, engaging, on-brand and aligned with marketing objectives. Apply SEO best practices to improve organic visibility, website structure and content performance. 4. Content & Digital Communications Support the development and distribution of content across websites, email and other digital channels. Work closely with the content and design teams to deliver effective campaign messaging. Repurpose and optimise existing content for different channels and audiences. Ensure communications maintain brand consistency and comply with relevant guidelines. Support the creation of engaging, conversion-focused content for B2C and B2B audiences. 5. Paid Media & Lead Generation (Support) Support the delivery and optimisation of paid digital campaigns, including Google Ads and Meta . Coordinate campaign landing pages, creative assets and tracking requirements. Monitor lead generation performance and identify opportunities to improve conversion rates. Collaborate with internal teams and external agencies to ensure campaigns are delivered effectively. Support campaign testing, including messaging, creative variations and landing page experiments. 6. Analytics, Reporting & Performance Monitor marketing performance across digital channels using Google Analytics 4, CRM reporting and other analytics platforms . Track key performance indicators including traffic, leads, conversion rates, cost per lead and campaign engagement. Produce regular marketing reports and communicate key findings to the wider team. Analyse campaign and website performance to identify opportunities for improvement. Support the implementation and validation of conversion tracking and marketing attribution. Use data and insights to recommend improvements to marketing activities and customer journeys. Skills & Experience Essential Minimum 2-3 years' hands-on experience in a digital marketing or similar generalist marketing role. Experience planning, executing and optimising digital marketing campaigns. Practical experience using CRM and email marketing platforms such as HubSpot, Brevo, Mailchimp or similar. Understanding of marketing automation, email workflows, audience segmentation and lead nurturing. Experience updating and managing websites using WordPress or a similar CMS. Good understanding of digital marketing channels, including email, paid media, organic search and content marketing. Familiarity with Google Analytics 4 and digital marketing performance reporting. Strong organisational and project management skills, with the ability to manage multiple campaigns and priorities. Analytical mindset with an ability to interpret performance data and recommend improvements. Excellent written and spoken English, with strong attention to detail. A proactive, problem-solving approach and willingness to learn new tools and technologies. Nice to Have Hands-on experience with HubSpot, Brevo and Microsoft Dynamics 365 . Experience building advanced marketing automation workflows and CRM integrations. Experience with Power Automate, Zapier, Make or similar automation tools. Familiarity with AI tools and their application in marketing operations and campaign delivery. Experience supporting Google Ads and Meta advertising campaigns. Knowledge of SEO best practices and tools such as SEMrush, Ahrefs or Screaming Frog. Experience in conversion rate optimisation, A/B testing and landing page development. Familiarity with Power BI, Looker Studio or other marketing dashboards. Experience working with developers or IT teams on website and platform improvements. Previous experience in property, financial services, mortgages or fintech. About OneDome OneDome is a fast-growing UK property and fintech group, bringing together mortgage, protection, conveyancing, property and wealth services to create a simpler, more connected customer experience. With brands including OneDome, CMME, Coreco, Better.co.uk, Mortgage Intelligence and Albany Park Finance , our Group is transforming how consumers buy homes, access financial services and manage their money. We are building a high-performing, technology-driven marketing function that supports growth across multiple brands and both B2C and B2B markets. As part of this ambition, we're looking for a Digital Marketing Specialist who can help us deliver effective campaigns, develop smarter automated marketing processes and continuously improve our digital performance. What We Offer Competitive salary Full-time, office-based role in Cape Town , working closely with our UK and South Africa teams The opportunity to work across multiple established and growing brands within the OneDome Group Broad exposure to digital marketing, paid media, CRM, automation and marketing technology Hands-on experience with leading platforms including HubSpot, Brevo, Dynamics 365 and Google Analytics Opportunities to experiment with AI, automation and emerging marketing technologies A collaborative, ambitious marketing team with the opportunity to take ownership of projects and contribute ideas Career development opportunities towards Digital Marketing Manager, Marketing Automation Manager or Marketing Operations Manager roles Salary: R35,000 – R40,000 / month
Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We’re hiring a Data Engineer to join our growing Platform Team and help shape the data foundations behind our products. As our customer base and data volumes grow, you’ll make sure our production data architecture, pipelines and storage remain reliable, scalable and cost-effective. This is a hands-on role focused on the systems that power our products, rather than internal BI or building a company-wide data warehouse. You’ll improve data models and database performance, help us choose the right storage and processing tools for each workload, and strengthen data quality and retention practices. Projects could include moving large and non-operational data out of PostgreSQL, improving pipeline orchestration with Prefect, and evolving our search and analytical capabilities with technologies such as OpenSearch and column databases. You’ll bring the experience and judgement to assess our current architecture independently, constructively challenge established practices, identify the most valuable improvements, and take them from proposal through to production. Working closely with product engineers, AI engineers and DevOps, you’ll combine practical delivery with longer-term architectural thinking. Whether you’re an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is an opportunity to take a dedicated data engineering role with a meaningful impact on how Xelix scales. At senior level, you’ll lead data architecture decisions across teams and own the roadmap for improving our production data systems. What you'll be doing Improve our production data architecture. Build reliable pipelines with tools such as Prefect. Optimise PostgreSQL performance and data models. Choose the right storage, search and processing tools. Improve data quality and retention practices. Deliver changes alongside product, AI and DevOps teams. Strengthen data access, retention and auditability in partnership with security, compliance and engineering teams. What you’ll bring Professional experience owning the architecture of production data systems in AWS and their improvements. Experience with data access controls, retention and auditability requirements in regulated environments (SOC 1, SOC 2, HIPAA, ISO 27001 or similar). Good judgement on storage and processing trade-offs. Clear communication and a hands-on, collaborative approach. A focus on reliability, data quality and security. Strong SQL, PostgreSQL and data modelling skills. Experience with NoSQL databases (like MongoDB, DocumentDB or DynamoDB) and warehousing solutions (like DuckDB, ClickHouse, Redshift) Solid Python and data pipeline engineering skills. Confidence using AI tools for development, investigation and documentation, with sound judgement about their value and limitations. What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
Location: Москва ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно тебя! Стань частью команды Сбера – лидера на рынке потребительского кредитования. Вместе создаём лучшие продукты и клиентский опыт. Наша цель – банк первого выбора для всех клиентов». Обязанности * формирование запросов к базам данным, подготовка требований на построение витрин * аналитика клиентского портфеля/профиля * проведение описательного и диагностического анализа, построение дашбордов и отчётов * формулирование бизнес-гипотез с последующей проверкой на основе анализа данных * планирование исследовательской работы и представление результатов в понятной форме * взаимодействие со смежными подразделениями (бизнес, риски, маркетинг) для уточнения задач, формулирования гипотез, представления результатов и рекомендаций в понятной форме * оценка изменений в поведении клиентов до и после использования тех или иных продуктов и изменений процессов * визуализация данных, в том числе с использованием специализированных BI-инструментов, подготовка аналитических записок и презентаций * отработка Ad-Hoc запросов, консультации смежных команд * проведение R&D исследований на стыке бизнеса и рисков, поиск точек роста и лучших практик для их последующего внедрения. Требования * высшее образование по направлению: прикладная математика статистика / ИТ /финансы * уверенный уровень владения Python/SQL и опыт работы с реляционными СУБД (Oracle, MS SQL, Greenplum) * уверенный уровень владения MS Office (Excel, работа со сводными таблицами, PowerPoint) * умение работать с большими объемами данных * знание основ математической статистики и понимание принципов АВ-тестирования * понимание банковских продуктов на уровне пользователя * знание Hadoop (hive, pyspark) * опыт работы с BI-средствами (Qlik sense, Power) * умение разрабатывать модели для решения задач кредитного риска, сегментации клиентов, прогнозирования продаж и др., * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки. **Профессиональные навыки:** * сильные аналитические навыки, умение строить выводы на основе больших массивов данных * умение готовить материалы, презентации и структурировать информацию * нацеленность на результат, системный подход к решению задач, тайм-менеджмент * способность работать в команде и в условиях многозадачности * способность принимать самостоятельные решения и нести за них ответственность * сильные коммуникационные навыки, настойчивость, умение аргументированно защитить позицию. Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график – офис/гибрид/удаленка * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для вакансий уровня Junior) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.
Тебе предстоит решать исследовательские и прикладные задачи: от анализа данных и разработки метрик до создания, внедрения и сопровождения алгоритмов. Чем предстоит заниматься Анализировать и обрабатывать данные различного объёма и структуры.
- Ведение инициатив по сбору данных, трансформации и выпуску отчётности (от постановки до релиза). - Проведение продвинутого анализа данных по бизнес-метрикам, поиск причин отклонений, подготовка рекомендаций.
Роль объединяет анализ больших данных, ETL и описание взаимодействия систем. — Python, SQL, реляционные базы, статистика и вероятность.
• Configure and troubleshoot GTM, GA4, and Consent Mode v2. • Implement dataLayer schemas and prepare technical specs for developers.
Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE As an Associate in Strategic Finance, you'll focus on turning financial and commercial data into clear insight - enabling leadership to deeply understand our business and the drivers of performance. You’ll partner with Data Engineering, Finance and cross-functional stakeholders, and build analytical workflows to support fast and data-driven decision-making. WHAT YOU’LL BE DOING - Analyse commercial and business performance - evaluating the full P&L and measuring ROI in order to help the business assess where it is creating value. - Translate ambiguous requests from leadership, Finance and cross-functional stakeholders into clear, decision-ready insights. - Craft executive-style deliverables, which may include decks, models, written documents or AI-powered apps. - Leverage AI tooling as a force multiplier to build and automate reusable analytical workflows that enable your stakeholders to quickly understand performance. - Drive continuous reporting improvements, standardisation, and simplification whilst documenting definitions and limitations - leaving no room for approximation. - Collaborate directly with Data Engineering and Data Science to support the development and enhancement of our core financial data models, and the context layer that enables AI agents to leverage that data. - You will be empowered to work directly with Finance and Data partners to scope requirements and deliver initiatives end-to-end. WHAT WE LOOK FOR ESSENTIAL CRITERIA - You’ll have 3+ years of relevant experience in data-driven and analytical roles, and hold a bachelor’s or master’s degree in a quantitative or business discipline. - Strong analytical thinking: you’re comfortable working with numbers, identifying the underlying patterns and drawing sound conclusions. - Excellent verbal and written communication skills: you have the ability to adjust your style to suit different perspectives and seniority levels. - Commercial curiosity: you want to dive into the details to understand how merchant, product, and commercial dynamics affect financial performance. - Confidence with data tools: You have strong spreadsheet skills and experience with BI tooling and data platforms, or demonstrate a clear aptitude and willingness to learn. Python and SQL experience is a plus. - Exceptional attention to detail: you rigorously validate data, pressure-test assumptions, and transparently communicate analytical limitations. - You’ve used AI hands-on in a business environment to create new tooling or workflows. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Data Analyst to support a large scale data migration program in a capital markets environment. This role focuses on understanding business requirements, analyzing data across legacy and target systems, and ensuring that migrated data is accurate and complete. You will play a key role in bridging business and technology teams, supporting functional validation, and enabling downstream analytics and reporting. The position requires strong analytical skills, a deep understanding of data structures, and the ability to work with complex financial datasets. As a Data Analyst, you will interact with client business stakeholders, not only gathering requirements but also supporting the adoption of new processes and Agile ways of working. We are looking for someone with a strong analytical mindset who can help clients define and refine business requirements. The project is a large scale data migration program designed to move data from legacy capital markets systems to a modern platform ecosystem. You will support analysis, validation, and reconciliation activities to help ensure migrated data is accurate, complete, and ready for downstream analytics and reporting. Work closely with business stakeholders to understand requirements and translate them into data analysis and validation tasks Analyze legacy and target datasets to support data migration and transformation processes Define and execute data validation and reconciliation procedures Validate migrated data to ensure accuracy, completeness, and consistency Document ETL processes, data mappings, and transformation logic Write complex SQL queries to explore, validate, and analyze large datasets Support the creation of dashboards and reports for business users Collaborate with data engineers to ensure alignment between business rules and technical implementation Support downstream analytics and data visualization initiatives Identify data issues, inconsistencies, and gaps and propose solutions Experience working in capital markets environments including custody, clearing, settlement, derivatives, or CCP Ability to translate business requirements into structured tasks for technical teams 3 plus years of experience working with large data volumes and diverse data formats Strong SQL experience for data analysis and validation Experience in data warehousing, dimensional modeling, reporting, and business intelligence Experience in data schema design, data modeling, and data mappings Fluent Spanish and English communication skills in both written and spoken form Experience in data migration or system transformation programs Familiarity with AWS Glue Experience with dbt or similar transformation tools Experience with BI tools such as Tableau or Power BI Understanding of data governance and data quality frameworks
Location: Cyprus; Georgia; Poland; Armenia; Kazakhstan; Serbia GoMining is looking for a Senior Revenue Operations Manager to become the right hand of our commercial lead. You will share ownership of the commercial agenda: improve how our digital acquisition channels perform, grow revenue from our existing customer base, and build the processes and infrastructure that help the commercial team scale. This is not a direct sales role, and it is not a purely high-level one either. We need someone who understands sales from the inside and can analyze data to find growth points. You should come with your own ideas and see them through to results without needing step-by-step guidance. Responsibilities Digital Acquisition & Sales Performance Drive commercial performance across 7 digital customer acquisition channels together with channel owners and General Managers. Run regular performance reviews, comparing actuals to targets and identifying the drivers behind deviations. Identify revenue leakage across the funnel and prioritize the highest-impact opportunities. Improve first-purchase conversion and overall acquisition efficiency, including the effectiveness of our traffic spend. Analyze payment success rates and payment method coverage by market, and work with relevant teams to remove payment-related conversion barriers (e.g., adding local payment methods). Retention & Customer Base Growth Drive retention of existing customers and reactivation of the inactive customer base. Build a customer-centric model in which existing customers adopt second and third GoMining products, together with General Managers. Develop cross-product and cross-sell opportunities based on customer behavior and product usage. Identify how ecosystem products can drive additional mining and TH sales. Funnel Optimization & Experimentation Map the end-to-end customer journey, from acquisition to first and repeat purchase. Identify bottlenecks and launch experiments across acquisition, onboarding, checkout, and payment flows. Define hypotheses, expected commercial impact, and success metrics for each experiment. Measure experiment results and scale successful initiatives across channels. Commercial Processes & Infrastructure Build and standardize commercial processes together with the commercial lead: plans, strategies, control tools, and team motivation. Own the end-to-end CRM rollout: finalize required functionality, test it, migrate all teams into a single system, set deadlines, and create training for team leads and their teams. Establish the CRM as the single source of truth for commercial data. Take over part of the commercial lead’s responsibilities and represent the commercial function in discussions with stakeholders when needed. Commercial Analytics Monitor conversion, payment success, revenue, acquisition efficiency, retention, and other key commercial metrics. Dig into the data to understand why metrics change (e.g., a drop in the share of paying users in a channel), and turn findings into specific actions for channel and product owners. Work closely with Analytics, Product, Marketing, Payments, and Finance teams to improve commercial performance. Requirements 5+ years of experience in Sales Operations, Revenue Operations, Commercial Operations, Growth, or Digital Sales. Hands-on sales or sales management background: you understand how sales teams work from the inside. Experience in fintech, payments, or other transaction-driven digital businesses. Strong understanding of funnel performance and commercial metrics: conversion, CAC, LTV, retention, and unit economics. Experience with retention, reactivation, or cross-sell / upsell initiatives. Experience building and standardizing commercial processes; CRM implementation or rollout experience is a strong plus. Analytical and critical thinking: you can open a report, spot a problem, and find its root cause. A proactive, independent mindset: you bring ideas, take ownership, and move fast. Fluent Russian and English (spoken and written). Nice to Have Experience in crypto, Bitcoin mining, Web3, or digital assets. Experience managing or optimizing paid traffic and acquisition channels. Knowledge of payment methods and payment flow optimization, including local payment methods in emerging markets. Experience with BI tools such as Tableau, Power BI, Looker, or similar. Ability to build dashboards and analyses yourself, including with AI tools. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year. Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).
- Опыт работы от 3 лет в роли бизнес-аналитика. - Опыт сбора, анализа, формализации и согласования бизнес-требований.
- Формирование и реализация дорожной карты продукта на основе данных и приоритетов бизнеса. - Работа над повышением ретеншна игроков, включая анализ поведения, выстраивание сценариев возврата и прогрева аудитории.
Задачи: — поддержка продаж — выставление счетов (billing) — координация проектов — административная поддержка — подготовка отчетности — обеспечение соответствия требованиям (compliance) Требования: — умение работать с Excel, Google Sheets — навыки работы с Power BI и Tableau — опыт работы с Microsoft Office Условия: — работа в офисе в Сингапуре