Вакансии

Location: Serbia; Poland; Georgia; Cyprus; Portugal; Spain We are looking for a Senior ML Engineer / ML Lead to join the small, elite team of engineers and researchers building ML-driven trading strategies in the cryptocurrency markets. The system is currently live in production, showing strong results, and scaling rapidly. We are looking for an exceptional expert to take ownership of the product, evolve our architecture, and exponentially scale the profitability of our models. You will be working directly on real PnL. This position is designed for someone who wants to see the direct financial impact of their work, thrives in an environment of high autonomy, and is committed to writing high-performance code and building sophisticated mathematical models. Responsibilities • Develop and optimise the ML architecture for our trading strategies. • Drive the full research cycle: independently generate hypotheses, implement them into production, and monitor real-world performance/profitability. • Refine and improve existing ML models to boost effectiveness. • Identify and eliminate bottlenecks in data processing pipelines and execution strategies. Tech Stack • Python (primary language) • NumPy, numba, PyTorch / JAX Requirements • Experience in a Senior ML Engineer or ML Lead role. • Proven track record of developing profitable ML models or trading strategies. • Fundamental knowledge of mathematics, statistics, and probability theory. • Ability to operate in high-uncertainty environments: formulating your own hypotheses and validating them against data. • Experience in writing high-performance, production-ready code. Nice to Have • Experience in algorithmic trading or deep domain expertise in cryptocurrency markets. • Proficiency in C++ (specifically for reading and optimizing latency-critical code paths). • Strong academic background: competition accolades, Kaggle achievements, scientific publications, or graduation from a top-tier DS program (e.g., SHAD). • Interest in mentoring and team development. Benefits • Zero bureaucracy, high autonomy, and the chance to work alongside people who share a scientific approach and a commitment to high-quality engineering. • The opportunity to directly influence the product and see the results of your work reflected in real financial outcomes.

Задачи: — Участие в двух треках: Инкубатор (формирование команд с нуля вокруг реальных отраслевых проблем) и Акселератор (вывод существующих AI продуктов и исследований до MVP, пилота и реальных клиентов). — В августе провести валидацию проблемы с 10 интервью с клиентами. — В сентябре создать работающий MVP и привлечь первого внешнего пользователя. — В октябре запустить пилот с клиентом. — Достичь критерия выпуска: реальное развертывание продукта. Требования: — Быть студентом, исследователем, преподавателем, выпускником или амбициозным кандидатом, желающим создавать AI продукты для глобальных рынков. — Владение английским языком. Условия: — 12 недель интенсивной работы. — Работа с основателями и менторами из стартапов, венчурных фондов и глобальных технологических компаний из разных стран. — Целевые результаты: 15+ MVP, 3+ пилотных проектов с клиентами. — Отбор на основе интервью. Организаторы: — AI Institute — Institute of Automation and Information Technologies, Satbayev University Партнеры: — Center of Mathematical Finance (CMF) — Association for the Development of Artificial Intelligence in Education (Kazakhstan)

Location: Lisbon, Portugal JoomPulse is an AI analytics tool for Mercado Livre and Shopee sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions. JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. Currently, we are looking for an Senior Product Analyst. The JoomPulse Product Analyst owns the three things that decide whether the product grows: The quality of the data on the platform The product analytics that tell us whether new features and new data actually move conversion and retention The market analysis that turns our marketplace data into insight for large corporate data clients and for the press This person makes sure we can trust our own data, makes sure every significant feature and data release is measured against its real effect on conversion and retention, and packages our marketplace data into external-facing market analysis (category trends, pricing, market dynamics) that lands with corporate clients and journalists. Responsibilities Transform imperfect data into clear, actionable insights that drive decisions Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team) Analyze user behavior patterns and independently uncover insights that are meaningful for the product Influence goal setting and project prioritization within the team based on data Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions) Identifying growth opportunities for the product, analysis and sales forecasting, including identifying seasonality and trends Requirements 5+ years of experience in data analysis Ability to write complex SQL queries (complex joins, window functions, CTEs, query optimization) Product-analytics depth (retention (paid & usage), cohort analysis, funnels, activation, ARPU/LTV, engagement) Knowledge of mathematical statistics and practical experience applying it Hands-on with a cloud warehouse (BigQuery or equivalent) BI and data storytelling (builds and maintains dashboards (Metabase / Looker Studio or equivalent)) Skill in selecting appropriate data evaluation methods: analytics, research, or using external data Ability to tackle complex problems in situations with incomplete data Attention to detail and ability to see tasks through to completion Preferred Built a data-quality or data-observability system from scratch and owned it Owned product analytics on a data / analytics product specifically Python (pandas / numpy) for analysis and automation and PySpark / big-data processing for the more technical work B2B SaaS experience Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work B efore applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights. This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science. What You'll Be Doing: Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Contribute to the development and adoption of best practices for experiment design, statistical analysis and causal measurement. Partner closely with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Collaborate with engineering teams by providing feedback on experimentation and measurement capabilities to improve tooling and workflows. Develop reusable analytical solutions, dashboards and code that improve the quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge, collaborating across teams and promoting analytical best practices. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous business problems. A collaborative mindset with a passion for continuous learning and improving analytical capabilities. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Experience developing reusable analytical frameworks, libraries or internal tooling. Experience presenting analytical findings and recommendations to cross-functional stakeholders. What You'll Influence: Measurement for PlayStation's product and commercial initiatives. High-quality experimentation and causal inference across product and business teams. Product and commercial decisions through rigorous analytical evidence. The continued evolution of PlayStation's measurement and experimentation capabilities. Why You'll Love This Role: Help shape how PlayStation measures product and commercial success across a global business. Work on challenging real-world problems using experimentation, causal inference and machine learning. Collaborate with talented scientists, engineers and product teams on high-impact initiatives. Learn from experienced data scientists while developing your expertise in modern measurement and experimentation. Contribute to the adoption of evidence-based decision-making across PlayStation. Continue growing your technical and business skills in a collaborative, supportive environment. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Workplace: fully We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications. What you'll do Develop, train, and evaluate machine learning models. Prepare and analyze datasets for model training. Improve model performance through experimentation and testing. Deploy and maintain ML models in production environments. Collaborate with software engineers to integrate ML solutions into products. Monitor model performance and continuously improve accuracy. Stay up to date with new machine learning techniques and technologies. What we're looking for Basic understanding of machine learning concepts and algorithms. Experience with Python. Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Familiarity with Git. Good problem-solving skills. Strong written and verbal English communication. Nice to have Experience with large language models (LLMs). Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with SQL. Experience deploying ML models. Personal projects or open-source contributions related to AI or machine learning. Requirements 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required. Passion for learning and building AI solutions. What we offer Fully remote work. Flexible working environment. Opportunity to work on real AI products. Challenging technical problems with room to grow. Collaborative and fast-moving team. Competitive compensation based on experience.

Location: Athens; Limassol; Nicosia; Thessaloniki Workplace: hybrid The Role:  We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.   You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions. The main responsibilities of the position include: Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques. Drive the adoption of Graph AI across the organisation by identifying new use cases and contributing to the evolution of the company's data science strategy. Communicate complex technical concepts and model outcomes clearly to both technical and business audiences. Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality . Leverage technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms to build innovative data solutions Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics Lead and supervise a team of data scientists working on graph-related tasks Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions. Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 6 years of experience in data science, machine learning and AI , including hands-on experience in designing, training and optimising Graph Neural Networks (GNNs) for production applications. Experience working with relational and non-relational databases Solid experience working with graph databases (e.g., Neo4j, Neptune) and proficiency in graph query languages (e.g., Cypher or Gremlin). Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Strong programming skills in Python and experience with Pandas, NumPy , and similar data analysis libraries Strong analytical thinking, problem-solving ability, and attention to detail . Excellent communication skills and the ability to work collaboratively in a team environment Fluent in English Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “ Employee Training & Development program”. • Stebby Sports Compensation or Confido Health Compensation. • Multiple events to bond with the team and the group. • Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience. • Opportunities to learn and grow through our “ Employee Training & Development program”. • Hybrid Work Flexibility. • Multiple events to bond with the team and the group. • Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Psychometric test Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Data Analyst to mainly c ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Data Analyst will have the chance to: • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making. • Analyze large and complex datasets to identify trends, patterns, and actionable insights. • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders. • Support the implementation of data-driven solutions that improve business performance and operational efficiency. • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. • Ensure data accuracy and consistency through validation and quality checks. • Work closely with BI team members to improve reporting processes and analytical capabilities. • Stay up to date with industry trends, analytical techniques, and data visualization best practices. What do you need to succeed in this role? • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry. • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately. • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders. • Experience gathering business requirements and translating them into reporting and analytical solutions. • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring. • Hands-on experience with data visualization tools (Power BI preferred). • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas. • Working knowledge of DAX and Power BI data modelling principles. • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations. • Attention to detail, curiosity, and a proactive approach to solving business problems. • Excellent command of English, both written and spoken. • Strong teamwork and collaboration skills. Will be considered as a plus: • Experience with statistical analysis and A/B testing concepts. • Basic knowledge of machine learning concepts and their business applications. • Proficiency in Python or R for data analysis and automation. • Experience working with financial services, trading, or FX data. • Familiarity with data governance and data quality best practices. • Knowledge of Agile methodologies and DataOps principles. • Familiarity with Databricks or similar cloud platforms. • Experience conducting market, competitor, or benchmarking analysis. By joining us, you can expect: • Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary  Bonuses to reward exceptional performance). • Opportunities to learn and grow through our “Employee Training & Development program”. • Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. • Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. • Participation in our welfare investment and savings plan through our Provident Fund Scheme. • Birthday and Loyalty benefits. • Collaboration with SportBenefit. What to expect from our recruitment process: First interview HR call Task Assessment Technical interview Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Lagos, Nigeria Who We Are We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability. The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization. This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment. What You Will Do Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities. Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting. Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects. Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making. Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements. Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product. Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios. Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics. Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation. Build automated reporting solutions and improve data infrastructure to reduce manual processes. Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance. Perform portfolio stress testing, sensitivity analysis, and scenario modeling. Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk. Recommend risk policy enhancements based on portfolio performance and analytical findings. Maintain documentation for portfolio methodologies, reporting processes, and analytical models. Drive continuous improvement initiatives across portfolio analytics and reporting capabilities. Requirements What You Bring Educational Qualification Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline. Master's degree is an added advantage. Professional Certifications FRM (Financial Risk Manager) – preferred. CFA (Chartered Financial Analyst) – an advantage. ACCA, ACA, or equivalent accounting qualification is beneficial. IFRS 9 or Credit Risk certifications are an added advantage. Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable. Experience Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk. Experience within banking, fintech, consumer lending, digital lending, or financial services. Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring. Experience building automated reporting and portfolio dashboards. Experience supporting senior management with portfolio performance insights and strategic recommendations. Professional Competencies Strong knowledge of portfolio risk management principles and retail lending products. Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning. Strong analytical skills with experience interpreting large datasets and translating insights into business actions. Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools. Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis. Experience designing portfolio monitoring frameworks and early warning indicators. Ability to automate reporting processes and improve reporting efficiency. Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance. Excellent presentation, communication, and stakeholder management skills. Strong attention to detail with the ability to influence strategic decision-making through data. Ability to manage multiple priorities within a fast-paced environment. This Role Is Ideal For You If: You enjoy transforming complex portfolio data into strategic business insights. You are passionate about credit risk analytics, portfolio optimization, and automation. You enjoy improving reporting efficiency through digitalization and data-driven solutions. You thrive in solving complex business problems using analytics. You enjoy collaborating across Risk, Finance, Technology, and Product teams. You want to influence credit strategy and portfolio performance at scale. You May Not Enjoy This Role If: You prefer operational roles over analytical and strategic work. You are uncomfortable working with large datasets and complex financial models. You dislike automation, reporting, or continuous process improvement. You prefer highly repetitive work with limited opportunities for innovation. You are not interested in financial performance, impairment, or portfolio optimization. Benefits What's In It For You Opportunity to shape portfolio strategy within a leading fintech organization. Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making. Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives. Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams. Continuous learning, professional certification sponsorship, and career development opportunities. Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.

Location: Lagos, Nigeria Who We Are We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Senior Anti-Fraud & Credit Policy Manager leads the Bank's Credit Policy and Fraud Prevention function, ensuring robust controls across customer onboarding, loan origination, and portfolio management. The role is responsible for developing and optimizing fraud prevention strategies, KYC controls, credit policy rules, and fraud detection models while safeguarding the business against financial crime and operational losses. The successful candidate will oversee anti-fraud systems, external risk data providers, blacklist management, and continuous monitoring of fraud attacks. Working closely with Risk, Credit, Product, Operations, Technology, Compliance, and Data Science teams, this role will drive automation, enhance decisioning frameworks, and strengthen fraud prevention capabilities across the lending lifecycle. This role is ideal for someone with extensive experience in fraud risk management, credit policy, digital lending, and data-driven decisioning within banking or fintech. What You Will Do Lead the design, implementation, and continuous improvement of credit policies and anti-fraud strategies across all lending products. Develop, monitor, and optimize KYC, customer verification, and fraud prevention controls throughout the customer lifecycle. Design, implement, and fine-tune fraud detection rules, cross-match models, and decision engines to improve fraud detection while minimizing false positives. Manage fraud prevention platforms and decisioning systems to enhance approval quality and customer experience. Oversee relationships with external risk data providers, including credit bureaus, identity verification providers, device intelligence, and fraud intelligence vendors. Evaluate the effectiveness of third-party fraud and identity solutions and recommend enhancements where necessary. Own and maintain customer, device, identity, and merchant blacklists, ensuring timely updates and governance. Monitor fraud trends, emerging threats, attack patterns, and suspicious activities across digital channels. Lead daily fraud monitoring, investigate fraud incidents, and coordinate rapid response actions to mitigate losses. Develop fraud dashboards, KPIs, and management reports to support executive decision-making. Conduct root cause analysis of fraud events and implement preventive controls. Collaborate with Product, Engineering, Data Science, and Operations teams to implement new fraud controls and policy enhancements. Review lending policies and recommend updates based on portfolio performance, fraud trends, regulatory changes, and business strategy. Support internal and external audits, regulatory examinations, and compliance activities relating to fraud prevention and credit policy. Ensure all fraud prevention activities comply with regulatory requirements and internal governance standards. Lead continuous improvement initiatives through automation, analytics, and advanced fraud detection techniques. Requirements What You Bring Educational Qualification Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Finance, Accounting, Engineering, or a related discipline. Master's degree is an added advantage. Professional Certifications Certified Fraud Examiner (CFE) – preferred. Certified Anti-Money Laundering Specialist (CAMS) – an advantage. Certified Risk Management Professional (CRMP), FRM, or equivalent certifications are desirable. Professional certifications in Data Analytics, SQL, Python, SAS, or Power BI are an added advantage. Experience Minimum of 6–8 years of experience in Fraud Risk Management, Credit Policy, Financial Crime, Credit Risk, or Digital Lending. At least 3 years in a leadership or senior specialist role. Experience within banking, fintech, consumer lending, or financial services. Hands-on experience managing fraud prevention systems, KYC platforms, and rule-based decision engines. Experience working with external fraud intelligence, identity verification, and credit bureau providers. Professional Competencies Strong knowledge of digital fraud prevention, financial crime, and credit policy management. Deep understanding of KYC, Customer Due Diligence (CDD), identity verification, and fraud risk controls. Experience designing and optimizing fraud rules, scorecards, cross-match models, and decision engines. Strong understanding of fraud attack vectors, synthetic identity fraud, account takeover, device fraud, application fraud, and first-party fraud. Experience managing external risk data providers and integrating third-party fraud solutions. Strong knowledge of blacklist management, fraud monitoring, and fraud investigation processes. Proficiency in SQL, Excel, Power BI, Python, SAS, or similar analytical tools. Strong analytical and problem-solving skills with the ability to identify emerging fraud patterns. Excellent stakeholder management, communication, and leadership skills. Strong understanding of regulatory requirements relating to fraud prevention, AML, KYC, and consumer lending. Ability to balance fraud prevention with customer experience and business growth. This Role Is Ideal For You If: You enjoy building robust fraud prevention and credit policy frameworks. You are passionate about protecting customers and the business from financial crime. You enjoy analyzing fraud patterns and improving decision engines through data. You thrive in fast-paced, technology-driven lending environments. You enjoy collaborating across Risk, Compliance, Product, Engineering, and Operations teams. You are motivated by solving complex fraud challenges using analytics and technology. You May Not Enjoy This Role If: You prefer operational processing over strategic risk management. You are uncomfortable making high-impact risk decisions. You dislike working with fraud analytics, rule optimization, and large datasets. You prefer environments with limited change and innovation. You are not interested in regulatory compliance, fraud prevention, or credit governance. Benefits What's In It For You Opportunity to lead fraud prevention and credit policy for a fast-growing fintech organization. Ownership of fraud strategy, KYC controls, and credit decisioning frameworks that directly influence portfolio quality and customer trust. Exposure to advanced fraud technologies, digital identity solutions, and analytics-driven decisioning. Opportunity to collaborate with Risk, Product, Engineering, Data Science, Compliance, and Executive Leadership teams. Continuous learning, professional certification support, and career development opportunities. Competitive compensation and the opportunity to solve complex, high-impact fraud and credit risk challenges.

Location: Lagos, Nigeria Who We Are: We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role: The Portfolio Manager is responsible for developing, implementing, and managing credit portfolio strategies that support the Bank's expansion into new markets and regions. The role ensures sustainable portfolio growth by balancing risk, profitability, and customer acquisition while adapting credit strategies to local market dynamics and regulatory environments. This role will lead portfolio performance monitoring, market analysis, credit strategy optimization, and expansion initiatives across multiple geographies. Working closely with Credit Risk, Product, Finance, Data, Collections, and Business teams, the Portfolio Manager will drive data-driven decisions that maximize portfolio quality and business performance. This role is ideal for someone with strong expertise in portfolio management, retail lending, credit analytics, and expansion strategy within banking or fintech. What You Will Do: Develop and execute portfolio strategies to support expansion into new markets and regions. Design localized credit strategies based on customer behaviour, market conditions, regulatory requirements, and portfolio performance. Monitor portfolio quality, profitability, and growth across multiple regions using key credit risk metrics. Analyse portfolio trends, customer segments, and product performance to identify growth opportunities and emerging risks. Perform portfolio forecasting, scenario analysis, stress testing, and profitability assessments. Recommend enhancements to underwriting policies, pricing strategies, and portfolio limits to optimise business performance. Partner with Product and Business teams to support the launch of new lending products and market expansion initiatives. Monitor key portfolio indicators including delinquency, default rates, recoveries, vintage performance, roll rates, and loss trends. Conduct deep-dive analysis on regional portfolio performance and provide actionable recommendations to senior management. Collaborate with Finance on Expected Credit Loss (ECL), impairment analysis, and portfolio provisioning. Develop automated dashboards and portfolio reporting to support executive decision-making. Drive continuous improvement initiatives across portfolio analytics, reporting automation, and risk management processes. Ensure compliance with internal credit policies, regulatory requirements, and governance standards. Work closely with Risk, Data Science, Technology, Collections, and Operations teams to improve portfolio performance and customer outcomes. Requirements What You Bring Educational Qualification: Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Business Administration, Engineering, Computer Science, or a related quantitative discipline. A Master's degree is an added advantage. Professional Certifications: Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) certification is preferred. Professional certifications in Credit Risk Management or Portfolio Management are an added advantage. Microsoft Power BI, SQL, Python, SAS, or equivalent data analytics certifications are desirable. Experience: Minimum of 5–7 years of experience in Portfolio Management, Credit Risk, Credit Analytics, or Retail Lending. Hands-on experience managing consumer lending portfolios within banking, fintech, or other financial institutions. Experience supporting regional expansion, multi-market portfolios, or new market launches is an added advantage. Professional Competencies: Strong understanding of retail lending, portfolio management, and credit risk principles. Experience analysing portfolio performance using key risk and financial metrics. Knowledge of IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio profitability. Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools. Experience with portfolio segmentation, vintage analysis, roll rates, delinquency monitoring, and stress testing. Strong understanding of lending products, customer behaviour, and market dynamics. Excellent communication, stakeholder management, and presentation skills. Strong commercial acumen with the ability to balance business growth and portfolio quality. Ability to work effectively in a fast-paced, data-driven environment while managing multiple priorities. This Role Is Ideal For You If: You enjoy building and optimising lending portfolios across new markets. You are passionate about using data to drive strategic business decisions. You thrive in high-growth, fast-paced financial services environments. You enjoy collaborating with cross-functional teams to deliver business outcomes. You are motivated by solving complex portfolio and credit risk challenges. You May Not Enjoy This Role If: You prefer operational or administrative work over strategic portfolio management. You are uncomfortable working with large datasets and financial analysis. You dislike balancing commercial growth with risk management. You prefer highly repetitive work with limited opportunities for innovation and strategic thinking. Benefits What's In It For You: Opportunity to lead portfolio strategy for regional expansion within a fast-growing fintech organisation. Exposure to large-scale lending portfolios, market expansion, and strategic growth initiatives. Opportunity to collaborate with Credit Risk, Product, Finance, Data, Engineering, and Executive Leadership teams. Continuous learning, professional certifications, and career development opportunities. Competitive compensation and the opportunity to influence business growth while managing portfolio performance across multiple markets.

Location: Lagos, Nigeria Who We Are: We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role: The Credit Policy Analyst is responsible for designing, implementing, and continuously improving credit policies and underwriting strategies for new lending products, including Credit Cards, Credit Lines, Buy Now Pay Later (BNPL), Merchant Financing, and other emerging digital credit solutions. The role partners closely with Credit Risk, Product, Data Science, Fraud, Technology, Finance, and Operations teams to ensure new products are launched with robust credit decisioning frameworks that balance portfolio growth, customer experience, profitability, and risk management. This role is ideal for someone with strong expertise in credit policy development, consumer lending, and data-driven decision-making within a fast-paced banking or fintech environment. What You Will Do: Design and develop credit policies for new lending products, including Credit Cards, Credit Lines, BNPL, Merchant Financing, and other digital lending solutions. Define customer eligibility criteria, underwriting standards, credit limits, pricing strategies, and approval rules for new products. Develop, test, and optimize credit decision rules, scorecards, and policy frameworks to improve portfolio quality and customer acquisition. Monitor the performance of newly launched products and recommend policy enhancements based on portfolio analytics and business performance. Conduct policy simulations, scenario analysis, and impact assessments before implementing credit policy changes. Collaborate with Product, Data Science, Fraud, Engineering, Collections, and Finance teams throughout the product development lifecycle. Analyse customer behaviour, repayment trends, portfolio performance, and profitability to support policy improvements. Recommend changes to approval strategies, credit limits, pricing, and risk controls based on portfolio performance and market trends. Develop automated dashboards, portfolio monitoring reports, and policy performance metrics for management reporting. Support A/B testing and champion/challenger strategies to continuously improve credit decisioning. Ensure all credit policies comply with regulatory requirements, internal governance standards, and the Bank's risk appetite. Maintain comprehensive documentation of credit policies, governance approvals, decision rules, and implementation procedures. Support audits, regulatory reviews, and compliance activities relating to credit policy management. Requirements What You Bring Educational Qualification: Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Business Administration, or a related quantitative discipline. A Master's degree is an added advantage. Professional Certifications: Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or equivalent risk management certification is preferred. Credit Risk or Consumer Lending certifications are an added advantage. Professional certifications in SQL, Python, SAS, Power BI, or Data Analytics are desirable. Experience: Minimum of 4–6 years of experience in Credit Policy, Credit Risk, Portfolio Analytics, Consumer Lending, or Lending Strategy. Hands-on experience designing or managing credit policies for retail or digital lending products. Experience within banking, fintech, consumer finance, or other regulated financial institutions. Experience supporting the launch of new lending products is an added advantage. Professional Competencies: Strong understanding of consumer lending, underwriting principles, and credit policy management. Experience developing credit strategies for products such as Credit Cards, Credit Lines, BNPL, Merchant Financing, or unsecured lending products. Knowledge of scorecards, decision engines, credit bureau data, affordability assessments, and risk-based pricing. Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools. Understanding of portfolio monitoring, IFRS 9, Expected Credit Loss (ECL), and portfolio performance metrics. Experience conducting policy performance analysis, segmentation, champion/challenger testing, and portfolio optimisation. Excellent analytical, communication, and stakeholder management skills. Strong attention to detail with the ability to balance business growth, customer experience, and credit risk. This Role Is Ideal For You If: You enjoy designing credit strategies for innovative lending products. You are passionate about balancing business growth with prudent risk management. You enjoy using data and analytics to improve customer decisioning. You thrive in collaborative, cross-functional product development environments. You enjoy solving complex lending and credit policy challenges. You May Not Enjoy This Role If: You prefer operational or administrative work over analytical and strategic roles. You are uncomfortable making data-driven credit policy recommendations. You dislike working with large datasets, policy optimisation, and performance analytics. You prefer highly repetitive work with limited opportunities for innovation. Benefits What's In It For You: Opportunity to shape the credit strategy for innovative lending products within a leading fintech organisation. Hands-on experience launching and optimising products such as Credit Cards, Credit Lines, BNPL, and Merchant Financing. Exposure to Product, Data Science, Risk, Engineering, Finance, and Executive Leadership teams. Continuous learning, professional certification support, and career development opportunities. Competitive compensation and the opportunity to solve complex, real-world lending and credit risk challenges.

Role overview: We are looking for a Game Mathematician to design, validate, and improve mathematical models for casino games. You will work closely with Product Owners, developers, QA, and certification teams to create engaging, compliant, and mathematically robust game experiences. Responsibilities: — Design and develop mathematical models for slots, casual and table games; — Contribute to game mechanics and feature design together with Product Owners and game designers; — Build simulations and analytical tools to validate RTP, volatility, hit frequency, maximum win, and other key game parameters; — Review and verify mathematical implementations together with developers and QA; — Analyze, update, and adapt legacy mathematical models from previously released games when required; — Support game balancing, playtesting, and post-release analysis using gameplay and statistical data; — Work with certification laboratories during game certification, investigate mathematical or technical findings, and prepare required fixes or supporting documentation; — Analyze market trends and existing game mechanics to identify opportunities for innovation. Requirements: — Degree in Mathematics, Statistics, Computer Science, or a related field — or equivalent practical experience; — Strong knowledge of probability theory, combinatorics, statistics, and mathematical modeling; — 5+ years of proven experience creating mathematics for slot games and/or other casino games; — Experience collaborating with certification laboratories and resolving certification-related issues; — Ability to explain which certification labs you have worked with, what requirements or findings arose, and how you addressed them; — Proficiency in at least one object-oriented programming language, such as C++, C#, or similar; — Strong Excel skills and experience with simulations, data analysis, and large datasets; — Experience with Git; — Strong analytical thinking, attention to detail, and problem-solving skills. Nice to have: — Understanding of player psychology, engagement mechanics, and the iGaming market; — Experience working with legacy game mathematics, including reviewing, debugging, recalculating, and updating existing models. Work conditions: — Work where it suits you: from home, the office, or a mix of both. — 100% paid vacation and sick days, plus extra days off. — Medical insurance and mental health support. — BCoins for internal rewards and fun perks. — Budget for professional development, certifications, and language courses (English and Polish). — Hackathons, team events, and legendary parties. — Kids’ camp for BGamers’ families. — Referral program with real rewards.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Communications Insight Analyst San Mateo, CA (Hybrid) Role Overview Within Global Content Communications, the Communication Insights Analyst will help shape how PlayStation understands social performance, social audience conversation trends, sentiment across community members and press, and the impact of company communications from a media perspective, from community to brand to product and corporate. This role will blend deep hands-on analysis with strategic partnership, helping teams move from raw information to clear, actionable insights. From ongoing social listening to campaign dashboards and reporting, this position will support how Global Content Communications interprets audience response, measures communications effectiveness, and identifies opportunities to optimize strategy. The ideal candidate brings a strong analytical foundation, sharp judgment, and the ability to translate and visualize complex, nuanced data into pivotal recommendations that are useful across a fast-moving communications organization. This role will sit within the social media team and partner closely with PR and PlayStation Studios, while also collaborating with cross-functional teams across marketing, analytics, regional teams, and other internal and external stakeholders. Responsibilities Lead owned social performance reporting for SIE business priority content across PlayStation channels. This includes but is not limited to campaign, recurring, ad-hoc reports and for internal and external stakeholders. Conduct social listening/ and sentiment analysis across different audiences, helping teams understand how PlayStation is being discussed in real time and over time. Define and refine key business metrics and reporting frameworks, build analytical models, and generate predictive insights to support business strategies. Analyze large, complex datasets (social, sentiment, web, and communications) to uncover meaningful patterns, emerging themes, risks, and opportunities that can inform strategy. Collaborate with stakeholders across business units to understand needs, deliver data-driven recommendations, and implement solutions. Support recurring and ad hoc reporting across a range of communications metrics, including social performance, conversation trends, campaign and launch impact, and media coverage. Translate quantitative and qualitative data, often addressing broad or ambiguous questions into clear narratives for stakeholders, including executive-ready summaries, dashboards, presentations, etc., and reports. Help identify and refine AI-assisted workflows that improve reporting efficiency and insight development, while applying strong judgment and validation to outputs. Partner closely with PR, PlayStation Studios, Consumer Insights, Marketing, and the broader Global Communications organization to support planning, measurement, and post-mortem learning. Stay deeply attuned to the gaming landscape, audience behavior, platform trends, and cultural context that shape how players respond to PlayStation news and content. What We’re Looking For 5–7 years of experience in data analytics, audience insights, communications measurement, social intelligence, or a related field. Bachelor’s degree in statistics, mathematics, economics, or a related field preferred; advanced degree is a plus. Equivalent experience is highly valued. Proven ability to analyze large, nuanced datasets, and synthesize quantitative and qualitative data for business decision-making via automated and manual methodologies. Proficiency in analytics and data visualization/storytelling (including tools like SQL, Python, R, Tableau, Power BI). Strong written and verbal communication skills, with the ability to present complex findings clearly and persuasively to a range of audiences (including non-technical stakeholders and senior leadership). Advanced expertise in social media analytics platforms (e.g. Emplifi, Sprinklr, Sprout, etc.) and social listening tools (e.g. NetBase, Meltwater, Brandwatch, etc.), and experience working with unstructured social conversation data. Advanced problem-solving, statistical, and creative thinking capabilities. Strong Excel skills and a demonstrated ability to work through large, messy, or nuanced datasets with rigor and precision. Experience using AI tools to improve analysis and reporting workflows, with a thoughtful approach to validating outputs and protecting quality. Familiarity with ethical data handling, privacy policies, and compliance in social listening and conversational analytics. Experience measuring communications impact across social and earned channels, including sentiment, conversation analysis, media coverage, and campaign or launch reporting. Comfort working in a highly collaborative environment with multiple internal stakeholders and shifting priorities. Strong familiarity with console and/or PC gaming, gaming culture, and the broader interactive entertainment landscape. Prior experience in gaming or entertainment analytics is strongly preferred. Experience in entertainment, media, technology, or communications-focused analysis is an integral plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $136,300 — $204,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Netherlands At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions. Ideal candidates have: Strong C++ programming skills (through education or experience) A background in Computer Science, Mathematics, or Physics A passion for elegant, efficient algorithms Ability to work independently and creative problem-solving approaches Good command of English (German not required) How You’ll Work You’ll collaborate closely with the team, without being stuck in recurring meetings. Your feature ships when you think it’s ready - no time pressure! We encourage contributions from anyone What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Competitive salary & Relocation Support to Berlin Guaranteed raise to 130k EUR after the first year Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: Romania At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions. Ideal candidates have: Strong C++ programming skills (through education or experience) A background in Computer Science, Mathematics, or Physics A passion for elegant, efficient algorithms Ability to work independently and creative problem-solving approaches Good command of English (German not required) How You’ll Work You’ll collaborate closely with the team, without being stuck in recurring meetings. Your feature ships when you think it’s ready - no time pressure! We encourage contributions from anyone What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Competitive salary & Relocation Support to Berlin Guaranteed raise to 130k EUR after the first year Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: Czechia At thinkcell, we’re seeking bright, creative C++ Developers with a solid theoretical background. Whether you're a seasoned professional or a recent graduate in Computer Science, Physics, or Mathematics, what matters most is your problem-solving ability and C++ skills. At thinkcell, we combine deep technical challenges with a healthy work-life balance and a culture that values thoughtful engineering over rushed delivery. Most of our team is based in Berlin, but we also welcome remote developers working from UTC–1 to UTC+4, reflecting our commitment to flexibility and collaboration across regions. Ideal candidates have: Strong C++ programming skills (through education or experience) A background in Computer Science, Mathematics, or Physics A passion for elegant, efficient algorithms Ability to work independently and creative problem-solving approaches Good command of English (German not required) How You’ll Work You’ll collaborate closely with the team, without being stuck in recurring meetings. Your feature ships when you think it’s ready - no time pressure! We encourage contributions from anyone What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Competitive salary & Relocation Support to Berlin Guaranteed raise to 130k EUR after the first year Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!