Role Description As a Lead Data Scientist for our Fraud team, you will be on the front lines of protecting our company and our customers. You will leverage your expertise in machine learning, statistics, and data analysis to design, build, and deploy sophisticated models that detect and prevent fraudulent activity in real-time. This is a high-impact role where you will see your work directly translate into protecting millions of dollars and ensuring a trustworthy platform for our users. Responsibilities - Technical Leadership & Strategy: Define the long-term machine learning strategy for the fraud team, establish technical best practices, and mentor junior data scientists. - End-to-End Model Development: Own the entire lifecycle of fraud detection models, from data exploration and feature engineering to model training, validation, deployment, and monitoring. - Credit & Lending Fraud Mitigation: Design and develop models specifically targeted at lending fraud typologies, including synthetic identity fraud, first-party loan default fraud, and application fraud. - Advanced Analysis: Conduct deep-dive investigations into emerging fraud patterns and user behavior, using clustering, outlier detection, network analysis, and other unsupervised techniques to uncover hidden risks and organized fraud rings. - Experimentation: Design and execute A/B tests to measure the impact of new models, rules, and strategies on both fraud detection rates and user experience. - Stakeholder Collaboration: Partner closely with Product, Engineering, Risk, and Operations teams to translate business needs into data science solutions, seamlessly integrate ML scores with rule engines, and communicate complex results to non-technical audiences. - Productionalize Models: Deploy, monitor, and maintain machine learning models in a cloud environment, ensuring high availability and performance. - Reporting & Visualization: Build and maintain dashboards using tools like Tableau or Looker to track key performance indicators (KPIs) like fraud loss rates, false positive rates, and model performance. Qualifications - 5+ years of experience in a hands-on data science role, building and deploying machine learning models. - Proven experience leading complex data science projects from inception to production, including setting technical direction and guiding peers. - Expert-level Python for data analysis and modeling (pandas, scikit-learn, etc.). - Advanced SQL skills for complex data extraction and manipulation. - Deep experience with tree-based ML models (XGBoost, CatBoost, LightGBM) and statistical models (Logistic Regression, Lasso/Ridge). - Deep understanding of model explainability frameworks (SHAP, LIME) and algorithmic fairness to ensure models comply with credit lending regulations. - Strong understanding of sampling techniques for handling highly imbalanced datasets. - Practical experience with clustering and outlier detection techniques (e.g., K-Means, K Nearest Neighbors, Isolation Forest). - Proven experience with the full modeling lifecycle, including model deployment, monitoring, and maintenance on a cloud platform like GCP, AWS, or Azure. - A solid foundation in statistics and experience designing and analyzing A/B tests. - Excellent stakeholder management and communication skills, with a demonstrated ability to explain complex technical concepts to diverse audiences. Advanced English level. Requirements - Direct experience in a FinTech, payments, or risk/fraud-focused role, particularly with exposure to credit or consumer lending. - Experience working with traditional credit bureau data (Experian, Equifax, TransUnion) and alternative credit/identity data sources. - Experience with Graph Neural Networks (GNNs) or graph analytics tools (e.g., Neo4j, NetworkX) to map complex fraud networks. - Familiarity with consumer lending regulations (e.g., FCRA, ECOA) and their impact on machine learning model development. - Hands-on MLOps experience (e.g., CI/CD for models, versioning, automated retraining). - Experience with Google Cloud Platform (GCP), especially Vertex AI. Benefits - Competitive salary - Initial stock options grant - Annual performance bonus - Health, dental, and vision plans - Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it. - Continuous learning opportunities - Unlimited PTO - Paid parental leave - Empowering opportunities for growth in a dynamic entrepreneurial environment Equal Opportunity Employer At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

• Design end-to-end NLP pipelines: entity extraction, terminological normalization, semantic matching and clustering; • Conduct exploratory phases (EDA, data quality assessment, completeness, analytical feasibility) on structured and unstructured datasets; • Define modeling approaches balancing fine-tuning of Transformer models (BERTimbau and similar) and the use of LLMs for extraction/structuring, with clear criteria for reproducibility, cost and auditability; • Build embedding pipelines, RAG and semantic search using vector databases (Qdrant, Milvus, ChromaDB); • Calibrate prioritization scores and anomaly detection (Isolation Forest, Autoencoders, HDBSCAN) in collaboration with domain experts; • Version experiments and models ensuring traceability and governance; • Produce high-level technical and scientific documentation (reports and, when applicable, papers); • Act as the technical interlocutor with domain experts to validate criteria, thresholds and metrics.

Role Description As a Senior Data Scientist, you will play a dual role: technical leader and strategic partner to customers and internal teams. - Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions. - Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring. - Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs. - Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful. - Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment. - Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability. - Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance. - Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions. - Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions. - Continuously improve tooling and processes that accelerate delivery, experimentation, and collaboration across the data science function. Qualifications - Must be based in Singapore (remote-first team; flexible working environment). - Bachelor’s degree, Master or PhD in Data Science, Computer Science, Statistics, or related field. - 6+ years of hands-on experience delivering data science projects from research to production, ideally in mission-critical domains. - Proven expertise with LLMs and modern NLP frameworks (LangChain, LlamaIndex, OpenAI APIs, HuggingFace, etc.). - Strong foundation in machine learning, graph analytics, anomaly detection, and unstructured data workflows. - Advanced proficiency in Python and SQL with a track record of writing clean, modular, testable, and production-ready code. - Experience with large-scale data platforms (e.g., PySpark, BigQuery) and scalable ML deployments. - Solid knowledge of MLOps and DataOps, including CI/CD, monitoring, retraining, and reproducibility. - Comfortable in Linux, Git, Docker, and modern collaboration workflows. - Exceptional communication and stakeholder management skills: able to translate technical insights into business outcomes and influence at all levels. - Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation. - A mindset of ownership, flexibility, and resilience: you adapt quickly, handle ambiguity, and are committed to delivering results. Benefits - Competitive salary — 150,000 - 170,000 SGD per year - Equity participation — stock options that grow with us as we scale globally - Quarterly wellness allowance — spend it your way - Learning & development budget — training, conferences, and dedicated Development Days with our AI/ML team - The backing of a proven platform — AI already running in production at HSBC and Standard Chartered, so you're building something that works Company Description At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!

Role Description A área de Engenharia Centrada em IA é dinâmica e empolgante, fazendo parte do Escritório do CTO (OCTO) da Dell. Conduzimos pesquisas e engenharia voltadas para o futuro da Dell Technologies em um ambiente de alta visibilidade e colaboração intensa. Nossa equipe é especializada no desenvolvimento de soluções avançadas de IA que capacitam empresas a inovar, se comunicar e otimizar operações de maneiras nunca antes possíveis. Somos compostos por pessoas apaixonadas e dedicadas a ultrapassar os limites da tecnologia de IA. Como Analista Sênior de Ciência de Dados, sua principal responsabilidade será investigar e desenvolver tecnologias de ponta para avançar o portfólio da Dell, e influenciar tomadas de decisão com base em análise de dados em profundidade. Você projetará processos para consolidar e examinar dados não estruturados para gerar insights úteis. Você trabalhará em estreita relação com especialistas em domínios em uma ampla gama de campos. Nós estamos procurando pessoas que sejam confortáveis em aprender e se adaptar facilmente para atender às necessidades de nossa empresa em constante evolução. - Colaborar com equipes internas e externas; - Desenvolver e aplicar uma ampla gama de técnicas e teorias de estatística, Aprendizado de Máquina e Inteligência Empresarial para entregar insights empresariais; - Realizar etapas de ponta a ponta envolvidas no desenvolvimento de modelos, estabelecendo-se como especialista em seu campo; - Desenvolver e codificar programas de software, algoritmos e processos automatizados para limpar, integrar e avaliar grandes conjuntos de dados provenientes de fontes diversas e dispersas; - Construir modelos preditivos, algoritmos e motores de probabilidade; verificar a eficácia dos modelos e algoritmos com base nos resultados reais. Qualifications - Formação acadêmica: Graduação completa em Ciência da Computação, Engenharia (Computação, Software, Elétrica, Controle e Automação), Estatística, Matemática, Física ou áreas correlatas; - Domínio avançado do inglês, necessário para interação constante com times internacionais; - Conhecimento em linguagem de programação Python; - Conhecimento em tecnologias de Machine Learning; - Conhecimento matemático, habilidades de análise estatística e análise de algoritmos. Requirements - Conhecimento em Deep Learning; - Pós-graduação stricto sensu (Mestrado ou Doutorado) em áreas relacionadas à Inteligência Artificial, Aprendizado de Máquina ou Ciência de Dados. Benefits Não foram fornecidos detalhes sobre os benefícios. Company Description We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. - Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. - Join us to build a future that works for everyone because Progress Takes All of Us. - Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.