Plata Card

Role Description We are looking for a Senior Compensation & Benefits Specialist who will take ownership of benefits operations, provider management, budgeting, and process improvements across HQ locations. This role combines operational work with project ownership and cross-functional collaboration across People, Payroll, Finance, HR Admin, IT, and external providers. - Manage day-to-day employee benefits operations across HQ locations (excluding Mexico) - Coordinate benefit providers, contracts, and related operational processes - Lead launches and improvements of benefits programs, including insurance, language-learning, and wellness initiatives - Drive automation and optimization of Compensation & Benefits processes - Participate in budgeting, benefits cost control, and financial planning - Develop and maintain benefits policies, guidelines, and internal knowledge base - Collaborate cross-functionally with Payroll, Finance, HR Admin, IT, and external providers - Act as a key point of expertise for Compensation & Benefits processes within the company Qualifications - 5+ years of experience in Compensation & Benefits, Payroll Operations, or HR Operations - Strong experience managing employee benefits in an international environment - Experience working with external vendors and service providers - Strong organizational and process management skills - Analytical mindset and attention to detail - Experience driving process improvements or automation initiatives is a plus - Advanced Excel / Google Sheets skills - English — Upper-Intermediate (B2) or higher - Russian language proficiency is required Benefits - Relocation support to one of our hubs — Serbia, Georgia, Kazakhstan or Cyprus — with assistance for the employee and their family - Flexible work from our office or remote - Healthcare Coverage - Education Budget: Language lessons, professional training and certifications - Wellness Budget: Mental health and fitness activity reimbursements - Vacation policy: 20 days of annual leave and paid sick leave

Role Description The Internal IT Support team is responsible for supporting employees with day-to-day IT operations, maintaining internal IT processes, and ensuring stable delivery of IT services across the organization. As an IT Knowledge Management Specialist, you will focus on organizing and maintaining the internal IT knowledge base and operational documentation. Your role will include: - Keeping documentation accurate and structured - Supporting alignment between operational practices and documented processes - Participating in IT audit activities This role requires strong organizational skills, attention to detail, and the ability to work across multiple teams and processes. Challenges that await you: - Maintain and update internal IT knowledge bases and operational documentation - Prepare and structure policies, procedures, and process instructions - Ensure operational documentation reflects current practices and requirements - Support consistency and transparency of IT operational processes - Participate in internal and external IT audits by collecting and preparing the required materials - Coordinate documentation and audit-related requests across IT and adjacent teams - Support standardization of documentation and knowledge management practices - Identify gaps and inconsistencies in documentation and propose improvements Qualifications - Experience with knowledge management, documentation coordination, IT operations, or related activities - Experience with tools such as Google Workspace, Confluence, Jira, or Airtable - Strong organizational skills and attention to detail - Ability to structure information and maintain documentation quality - Ability to manage multiple parallel tasks independently - Strong communication and cross-team collaboration skills - B1 or higher English level for communication with an international team Requirements - Experience supporting IT audits or documentation-related activities - Understanding of IT operational or security processes - Experience improving documentation standards or internal knowledge bases - Experience working in regulated environments Benefits - Relocation support to Cyprus, Georgia, Serbia — with assistance for the employee and their family - Flexible work from one of our offices or remote - Healthcare Coverage - Education Budget: Language lessons, professional training and certifications - Wellness Budget: Mental health and fitness activity reimbursements - Vacation policy: 20 days of annual leave and paid sick leave

Role Description We are looking for a proactive Middle Antifraud Analyst to strengthen our Fraud Prevention team. This is a role focused on using and developing antifraud rules, analyzing fraud cases, and collaborating closely with agents to improve fraud detection and operational efficiency. If you have strong analytical thinking, hands-on analyst experience, and want to directly influence risk management and system logic, this is your opportunity to make a measurable impact on fraud prevention at scale. Challenges that await you - Your main responsibility will be to test and improve antifraud rules for existing products and new fraud scenarios related to products launching in 2026, balancing security and customer experience. - Optimize, and document antifraud rules across multiple channels (card, transfers, tokenization, etc.). - Improve cost efficiency and controls for operational antifraud tools. - Collaborate with agents to investigate alerts, verify rule logic, and adjust thresholds. - Analyze confirmed fraud cases and identify new patterns or emerging risks. - Conduct back-testing and assess the efficiency of existing rules. - Propose and implement new approaches for fraud detection automation. - Monitor fraud metrics, build queries, and create dashboards to track performance. Qualifications - 2+ years of relevant experience in fraud analysis, risk management, or a related field. - Strong knowledge of mathematical statistics and probability theory. - Analytical mindset and systematic thinking. - Strong skills in SQL for data analysis and Python for automation or modeling. - Attention to detail and ability to translate insights into actionable solutions. - Excellent communication skills for effective collaboration with cross-functional teams. - A mathematical or technical degree from a top university such as MSU, MIPT, HSE, MSTU, MEPhI, or NES will be a plus. - Understanding of payment processes, transaction flows, and fraud typologies will be a plus. - B1 or higher English level for effective communication with an international team. Benefits - Relocation support to one of our hubs — Serbia, Georgia — with assistance for the employee and their family. - Flexible work from one of our offices or remote. - Healthcare coverage. - Education Budget: Language lessons, professional training, and certifications. - Wellness Budget: Mental health and fitness activity reimbursements. - Vacation policy: 20 days of annual leave and paid sick leave.

Role Description We are looking for an Engineering Manager to lead a high-performing team delivering risk scoring capabilities for Plata’s expansion into Colombia, on top of a mature, well-established platform. Partnering closely with risk analysts, you will help translate deep analytical insight and business risk strategy into scalable, reliable technology with clear business impact. This role calls for a technically grounded leader with solid engineering judgment, clear thinking, and strong communication — someone who can turn vision into strategy, stay open with stakeholders, and support teams with clarity, discipline, and empathy. If you want to build and guide a strong engineering team at the core of Plata’s risk engineering ecosystem, this role is for you. Challenges that await you: - Lead the team across hiring, planning, task decomposition, process improvement, and effective cross-functional collaboration with risk analysts and other stakeholders. - Own team execution and delivery, ensuring predictable timelines and alignment with risk and business objectives. - Drive the development and continuous improvement of risk scoring and decisioning capabilities, building on existing domain expertise, processes, and tooling. - Tackle complex technical and domain challenges, ensuring solutions meet high standards for quality, reliability, and safety. - Shape the architecture, design, and implementation of backend services in Golang, with a focus on scalability, performance, and maintainability. Qualifications - 2+ years of experience leading engineering teams (hiring, development, performance, and delivery management). - A strong technical background and development experience, enabling you to participate in architectural discussions and validate the team's technical solutions. - Excellent cross-team communication skills and the ability to build partnerships. - 4+ years of experience as a Go developer. - Experience in building and optimizing development processes (planning, decomposition, retrospectives). - Diplomacy and the ability to advocate for your position and the team's interests with well-reasoned arguments. - Willingness to learn, adapt, and collaborate effectively. Benefits - Relocation support to one of our hubs — Cyprus, Serbia, Georgia— with assistance for the employee and their family. - Flexible work from one of our offices or remote. - Healthcare Coverage. - Education Budget: Language lessons, professional training and certifications. - Wellness Budget: Mental health and fitness activity reimbursements. - Vacation policy: 20 days of annual leave and paid sick leave.

Role Description The Telesales Team is engaged in customer acquisition via phone sales. The team supports a number of call centers by providing a web-based working environment and telephony capabilities to hundreds of sales agents. Telesales is responsible for web tools for client acquisition, customer call strategies, agent performance evaluation, and more. As an AI Engineer in Telesales, you will primarily focus on developing LLM-based solutions for end-to-end sales automation and communication quality evaluation. - Develop our in-house AI sales bot solution for end-to-end sales automation. - Integrate with external vendors to evaluate and test third-party AI products and capabilities. - Build our in-house call analysis solution to identify critical agent mistakes and detect negative customer reactions. - Work closely with the team to launch robust AI solutions into production. - Take part in shaping new AI use cases in Telesales as the product evolves. Qualifications - Hands-on experience building LLM-based products or features for real business use cases. - Strong practical skills in prompt engineering, model integration, and designing reliable AI workflows. - Experience developing and launching AI solutions such as assistants, bots, or text analysis systems. - Good knowledge of Python and confidence working with modern AI tooling. - Strong engineering judgment and a pragmatic approach to solving product problems. - Ability to work independently and take ownership of AI solutions from idea to production. - Excellent communication skills and ability to collaborate with product and engineering teams. - B1 or higher English level for effective communication with an international team. Requirements - Previous experience delivering business-critical AI-powered applications. - Experience working on telesales, call center, or customer communication products. - Experience evaluating third-party AI solutions and comparing them against in-house approaches. - Experience with voice AI, speech analytics, or call quality evaluation solutions. Benefits - Relocation support to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family. - Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5. - Healthcare coverage. - Education Budget: Language lessons, professional training and certifications. - Wellness Budget: Mental health and fitness activity reimbursements. - Vacation policy: 20 days of annual leave and paid sick leave.

Role Description The Cashback Partner team is responsible for cashback offers management and partner integrations. Our team develops and supports services that serve as a link between external partners and the client's mobile interface, ensuring reliable and scalable cashback processing. We are looking for a System Analyst who is ready to work with complex data flows, improve the Cashback Partner architecture, and has experience with external partner integrations. - Designing technical solutions that meet business requirements and operate efficiently - Working on technical solutions from the early stages of idea grooming through development and ongoing support - Participating in partner integrations, including requirements analysis and API design - Working with mobile developers and designers to ensure business requirements are implemented correctly - Maintaining up-to-date documentation for current and newly implemented solutions Qualifications - 3+ years of experience as a System Analyst - Experience designing APIs and microservices architecture - Experience working with external partner integrations - Proficiency in UML (including sequence diagrams) and knowledge of PlantUML - Basic knowledge of Git - Proficiency in SQL and experience querying databases - Experience designing complex, scalable services with high load and high availability - B2 or higher level of English for documentation and effective communication with partners’ technical teams Requirements - Solid experience with PostgreSQL - Strong understanding of asynchronous programming patterns - Experience working with Kafka - Knowledge of gRPC models - Ability to read and understand code Benefits - Relocation support to one of our hubs — Cyprus, Serbia, or Kazakhstan — with assistance for the employee and their family - Flexible work from one of our offices or remote - Healthcare Coverage - Education Budget: Language lessons, professional training and certifications - Wellness Budget: Mental health and fitness activity reimbursements - Vacation policy: 20 days of annual leave and paid sick leave

Role Description We are looking for a Business Analyst to join our Customer Care (Debit Products) team — a critical function supporting our customers’ daily financial activities, from purchases and ATM withdrawals to seamless access to funds. When issues arise with a debit card or account — such as declined transactions, lost cards, unexpected fees, or technical problems — customers expect prompt, clear, and empathetic support. Their trust in our company depends not only on our features, but also on how professionally and effectively we resolve their issues. As a Business Analyst in Customer Care (Debit Products), you will oversee support for individual customers using our debit products. This role exists to: - Become the owner of the debit products stream within the next year. - Make the experience measurable: define and track key metrics (e.g., resolution time, customer satisfaction, error rates), set SLAs, and maintain high communication standards. - Drive continuous improvement: identify pain points and opportunities as new debit features launch and customer needs evolve, ensuring that processes and support keep pace. Challenges that await you: - Be responsible for Customer Care for debit products (debit cards, savings, deposits, subscriptions, and cashback): understand where customers struggle and how support can improve their experience. - Work closely with designers and engineers to specify changes in agent tools and client-facing interfaces. - Work closely with debit product and operations teams to promptly update agent processes and interfaces. - Take an active part in shaping the debit product metrics tree. Track and improve key support metrics for debit products: AHT, contact rate, first contact resolution, CSAT. - Identify gaps and inefficiencies in debit product support processes and improve them. - Partner with product analysts to measure the impact of releases and campaigns, and use data to drive priorities. - Ensure process transparency through documentation, metrics, and presentations. Qualifications - 1+ years of experience as a Business Analyst / Product Manager in fintech, banking, or consumer digital products. - Hands-on UI experience: experience creating multi-screen user flows, not just making visual tweaks. - Ability to write clear and structured product requirements independently; technically fluent and comfortable collaborating with engineers. - Data-driven mindset: ability to work with data, define tasks for analysts, and spot inconsistencies in dashboards. - Experience in project management across multiple teams; ability to deliver on time and track progress effectively. - Strong critical thinking, proactivity, and ownership mindset. - Fluent English (B2+). Requirements - Experience in Customer Care / Contact Center / Customer Service. - Experience developing internal products (Telesales, Collections, Delivery, etc.). Benefits - Relocation support to one of our hubs — Mexico, Cyprus, Serbia, or Georgia — with assistance for the employee and their family. - Flexible work from one of our offices or remote. - Healthcare Coverage. - Education Budget: Language lessons, professional training and certifications. - Wellness Budget: Mental health and fitness activity reimbursements. - Vacation policy: 20 days of annual leave and paid sick leave.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are growing the Financial Assistant team at Plata, building intelligent systems that support users in managing their finances, understanding spending, and interacting with financial products in a simple and intuitive way. This team plays a key role in improving customer experience, engagement, and the overall value of our core products. This is a customer-facing product in a regulated environment — accuracy, safety, and trust are non-negotiable. We use AWS, Go, Python and cloud-based models, yet still flexible to mix ready-made tools and ship our custom solutions. We're all about building systems that deliver real, valuable results for our organization. You will be a key specialist in a cross-functional team, working closely with backend, mobile and other LLM engineers. Challenges that await you: - Work with agentic architectures where needed: tool use, multi-step reasoning, orchestration, and failure recovery - Design and maintain eval infrastructure (offline test suites, golden datasets, regression harnesses) that gives a reliable signal after every change - Work with advanced prompts, set up RAG-oriented data sources for efficient retrieval, and evaluate model outputs to ensure accuracy, relevance, and quality - Implement safety and guardrails: hallucination detection, refusal strategies, factual grounding - Run online and offline experiments (canary, A/B) to validate that changes improve real user outcomes - Own observability from day one: trace LLM calls, monitor quality drift, latency, and cost per session in production - Collaborate with backend engineers and product to ship reliable improvements, review code, and maintain production health Qualifications - Strong classical ML fundamentals, you understand what's happening inside models, not just how to call their APIs - Strong eval mindset: you design the measurement system before writing the first prompt, and treat evals as a first-class engineering artifact - Hands-on experience with search and retrieval: dense/sparse/hybrid, reranking, query understanding — using managed tooling effectively, not necessarily from scratch - Practical experience with agentic architectures: tool use, orchestration, failure recovery - Safety-first thinking: guardrails, content policies, graceful degradation under uncertainty, especially in a context where wrong answers have real consequences - Production ML ownership: observability, latency budgets, cost tracking, regression detection - Expertise in Python and its ecosystem, as well as language- and framework-agnostic mindset to achieve project goals - Familiarity with open-source tools to build and evaluate RAG applications - Excellent communication skills and ability to explain complex technical concepts to a broad audience of stakeholders - B1 or higher English level for effective communication with an international team Requirements - Previous experience delivering business-critical ML/AI-powered applications for customer-facing products - Fine-tuning or distillation of LLMs for production use cases - Experience deploying open-source models (Llama, Mistral) in private/on-premise environments - Experience in fintech, banking, or regulated domains