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About Iqana Iqana is a Barcelona-based fintech startup delivering systematic, risk-managed exposure to digital assets. Our mission is to make institutional-grade crypto investing accessible through robust quantitative strategies and optimized portfolio construction. We help investors—ranging from high-net-worth individuals to Family Offices, hedge funds, and asset managers—gain secure, automated access to crypto markets via separately managed accounts (SMAs). Powered by proprietary algorithms and advanced risk frameworks, Iqana is building the next-generation infrastructure for digital asset investing: from data ingestion, strategy design, and execution to monitoring and reporting. We’ve just closed a successful pre-seed round and are backed by top investors and strategic advisors. We’re scaling our founding team to shape the future of how institutions access digital assets investments securely. About the Opportunity Are you passionate about AI, Digital Assets, finance, prediction markets, and building systems that transform how people invest? Do you want to work across cutting-edge infrastructure, the latest data sources, and high-impact execution systems? If so, this role is for you. We’re looking for a Software Engineer — AI & Trading Infrastructure to design, build, and scale the backbone of our algorithmic trading and SMA execution platform. You’ll work across our stack (Python, React/TypeScript, Django, AWS, APIs, data pipelines) and take responsibility for integrating AI-enhanced tools into real-world research and execution systems. From internal dashboards to trading infrastructure and monitoring tools, you’ll bring ideas to life. You’ll collaborate daily with our CTO, quant researchers, ML engineers, product, and design teams to turn complex ideas into production-ready systems. What a Typical Week Might Look Like Work hand-in-hand with the CTO to architect and scale trading and portfolio infrastructure. Ship features that integrate AI into investment research, execution workflows, and internal tools. Build and enhance market data pipelines, optimize execution systems, and connect new venues and data sources. Develop dashboards, monitoring tools, and fallback mechanisms to ensure smooth, real-time operations. Join weekly product and strategy sessions with the founding team to align tech priorities with business growth. Proactively monitor system health, review logs, and improve system resilience. Test, learn, and iterate based on feedback and evolving research needs. Key Responsibilities AI Research Infrastructure — Help design the systems that support multi-agent AI research workflows, enabling autonomous agents to analyze datasets (e.g. from Glassnode), critique insights, and collaborate on structured research outputs. Backend APIs — Design and implement scalable APIs (REST/WebSocket) connecting AI, trading, and user-facing systems. Data Infrastructure — Architect and optimize market data ingestion and ETL pipelines, integrating with multiple crypto exchange APIs and on-chain sources. Cloud-Native Systems — Deploy scalable architectures on AWS (or equivalent) to support high-performance computation and fault-tolerant operations. Innovation — Stay ahead of trends in trading infra, AI systems, and crypto technologies, applying them to real-world investor needs. What We’re Looking For 4+ years of software engineering experience, ideally in a startup or fast-paced environment . Experience with data integration and building robust ETL/streaming pipelines. Solid understanding of cloud platforms (AWS, Azure) and cloud-native architecture. Experience or strong interest in building tools and infrastructure to support AI-driven research , insight generation, or agent-based systems. Ability to work with complex datasets and turn them into structured, explainable outputs via automation or ML-driven workflows. Hands-on experience with APIs Familiarity with DevSecOps best practices, CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code. Nice to Have Experience with financial data, trading systems, or quant research platforms. Familiarity with agent-based architectures and frameworks supporting autonomous research agents Knowledge of market microstructure, order book modeling, or execution algorithms. Familiarity with DeFi protocols, blockchain analytics, or on-chain data. Prior experience building backtesting engines or simulation frameworks. What’s in it for you? Founding team member opportunity — Be one of our first hires, build with us from day one, and shape the future of Iqana's trading infrastructure. High-impact projects —Your work will directly support live strategies used by top-tier investors. Fast-track career growth in a high-performance environment where your impact is visible and rewarded, and where you scale into leadership roles as the company and tech expand. Meaningful equity package — Build this with us and share in the upside. Be part of a top-tier fintech startup — Backed by experienced investors and advisors, building the future of digital asset investing. High ownership and autonomy — You’ll design, build, and ship — no layers, no bureaucracy. We’re committed to investing in your future—whether it’s funding courses, certifications, or other educational opportunities, we want you to continually grow and excel. Career Progression As one of our founding engineers, you will start by owning critical systems and infrastructure design, evolve into Tech Lead for AI & Trading Infrastructure and later into a Head of Engineering as the team grows, and help build and mentor the next generation of engineers that will scale Iqana’s technology. Compensation At Iqana, we believe in transparency and competitiveness: Base Salary Range: €38,000 - €51,000 gross annual + 10% bonus Equity Package: Meaningful equity package — share the upside as we grow from Pre-Seed to global scale. Total Compensation: Competitive and designed to grow as we scale, with compensation reviews twice per year

About Iqana Iqana is a Barcelona-based fintech startup delivering systematic, risk-managed exposure to digital assets. Our mission is to make institutional-grade crypto investing accessible through robust quantitative strategies and optimized portfolio construction. We help investors—ranging from high-net-worth individuals to Family Offices, hedge funds, and asset managers—gain secure, automated access to crypto markets via separately managed accounts (SMAs). Powered by proprietary algorithms and advanced risk frameworks, Iqana is building the next-generation infrastructure for digital asset investing: from data ingestion, strategy design, and execution to monitoring and reporting. We’ve just closed a successful pre-seed round and are backed by top investors and strategic advisors. We’re scaling our founding team to shape the future of how the world invests in digital assets. About the Opportunity Iqana is seeking a Quantitative AI/ML Engineer to lead the research, development, and deployment of advanced machine learning models driving our algorithmic trading strategies and risk management systems. This role bridges financial data science, quantitative research, and MLOps — playing a key part in enhancing our proprietary models and expanding our quantitative capabilities. You’ll work directly with the founding team to turn cutting-edge research into production-grade models while shaping our quantitative roadmap. Are you passionate about building ML models that are live in the markets? Do you want to turn research into real-world quantitative strategies that manage millions? Then this role is for you. We’re looking for a Quantitative AI/ML Engineer to lead research, development, and deployment of advanced ML systems powering our algorithmic strategies. You’ll design predictive models, optimize real-time trading logic, and ensure performance and explainability, bridging financial data science, quantitative research, and MLOps. You’ll work closely with the CTO, Head of Quant Research, Quant Engineers, and software team to translate ideas into deployed code, while also owning our MLOps pipelines and research stack. What a Typical Week Might Look Like Collaborate with the CTO, Head of Quant Research and Quant Engineers, to refine and implement new strategy components. Research and prototype ML models (classification, regression, RL, etc.) for alpha generation, dynamic position sizing, signal filtering, etc. Integrate macro, on-chain, and sentiment data into multi-layered predictive frameworks. Join weekly strategic and product sessions with the founding team to align technical work with investor needs. Support model deployment, real-time monitoring, and performance analytics. Explore and implement concept drift detection, model explainability, and robust evaluation practices. Review research papers, explore market dynamics, and integrate new data sources into live strategies. ___________________ Key Responsibilities Design and develop dynamic ML frameworks to optimize trading strategies, improve risk management, and drive alpha generation. Enhance trading performance through techniques such as meta-labeling, position sizing, signal refinement, and real-time prediction. Integrate diverse data sources (market, on-chain, macro) into robust predictive frameworks. Research and prototype new ML models, including deep learning, reinforcement learning, and probabilistic approaches for time-series data. Collaborate in building our backtesting engine and model validation pipelines to ensure robustness and avoid overfitting Ensure model explainability, auditability, and transparency, especially for models driving financial decisions. Develop reproducible research workflows and contribute to our internal library of notebooks and experiments. Co-lead research on cutting-edge topics in quantitative finance & ML applications to it. Collaborate with software engineers to deploy models into production and real-time trading systems. Explore generative AI applications (LLMs or multi-modal models) to enhance market analysis or decision-support tools. What We’re Looking For MSc or PhD in Machine Learning, Applied Mathematics, Physics, or Financial Engineering is highly preferred and will be considered a strong plus. Expert in Python, data science libraries (NumPy, pandas, scikit-learn), and ML frameworks (PyTorch, TensorFlow). Cloud computing experience (AWS preferred, or Azure). Strong grasp of time-series modeling and ML (ideally for financial data). Comfortable reading academic papers and turning theory into production-ready tools. Passion for research, speed, and solving hard problems with real-world impact. Knowledge of reinforcement learning, Bayesian optimization, or probabilistic models is a strong plus. Strong research skills, capacity to read and digest academic papers, and the ability to quickly apply new methods. Experience building and deploying ML models (versioning, retraining, monitoring). Skilled in feature engineering and integrating alternative data sources. Bonus: Knowledge of C++/Rust for performance-critical components. Nice to Have Experience designing and deploying algorithmic trading strategies. Experience applying reinforcement learning or Bayesian optimization to financial use cases. Understanding or substantial interest in financial markets — preferably with exposure to crypto markets, DeFi, or trading systems Familiarity with on-chain data extraction and analysis (Web3/crypto). Prior work experience in a hedge fund, prop trading firm, or crypto trading desk. What’s in it for you? Founding team member opportunity — Be one of our first hires, with direct influence on our trading models from day one. High-impact projects —Your work will directly shape live strategies used by top-tier investors managing millions. Fast-track career growth in a high-performance environment where your impact is visible and rewarded, and where you scale into leadership roles as the company and tech expand. Meaningful equity package — Build this with us and share in the upside. Be part of a top-tier fintech startup — Backed by leading investors and advisors, building the future of digital asset investing. High ownership and autonomy — Lead, build, and ship — no layers, no bureaucracy. We’re committed to investing in your future—whether it’s funding courses, certifications, or other educational opportunities, we want you to continually grow and excel. Career Progression As one of our first Quantitative Engineers, you’ll begin by owning core research and model development, evolve into Quant Lead , and later take on a Head of Quant Trading role as the team expands. You’ll help define our research agenda, shape the next generation of Iqana strategies, and mentor new team members as we scale our infrastructure and client base. Compensation At Iqana, we believe in transparency and competitiveness: Base Salary Range: €38,000 - €52,000 gross annual + 10% bonus Equity Package: Meaningful equity package — share the upside as we grow from Pre-Seed to global scale. Total Compensation: Competitive and designed to grow as we scale, with compensation reviews twice per year

Desde IPG Mediabrands, buscamos incorporar un Programmatic Expert para una de nuestras cuentas clave en el equipo de KINESSO en nuestras oficinas de Barcelona. Principales funciones del puesto: Creación, configuración y seguimiento de campañas en plataformas de Demand-Side Platform (DSPs) como Google DV360, The Trade Desk, Xandr, etc. Verificar que los anuncios se activen correctamente y sigan los lineamientos establecidos. Analizar métricas clave como CTR, CPM, CPA y ROAS para mejorar el rendimiento de los anuncios. Ajustar segmentaciones, presupuestos y estrategias según el comportamiento de la audiencia. Extraer y organizar datos de plataformas de analítica y publicidad. Crear informes sobre el desempeño de las campañas para optimizar futuras estrategias. Usar herramientas como Google Analytics, Excel, Looker Studio o Power BI para visualizar datos. Creación de audiencias personalizadas y lookalike para mejorar la efectividad de los anuncios. Ayudar en el análisis de datos demográficos, de comportamiento y ubicación para una segmentación más precisa. Coordinar con el equipo de ventas o clientes para entender los objetivos y ajustar campañas. Explorar nuevas plataformas, formatos y estrategias de publicidad programática. Investigar la evolución de la privacidad digital y regulaciones como GDPR y CCPA Requisitos y competencias deseadas: 2-5 años de experiencia como Programmatic Trader en agencia de medios o trading desk. Experiencia demostrable en plataformas como DV360 (imprescindible) y otras como The Trade Desk, Xandr, Amazon DSP, etc. Conocimiento avanzado en segmentación de audiencias, brand safety, viewability, medición y atribución. Capacidad analítica y dominio de Excel/Sheets y herramientas de reporting. Nivel de inglés B2 Sobre nosotros: IPG Mediabrands es un grupo de agencias de medios global perteneciente a Interpublic Group (IPG), que en España cuenta con más de 450 profesionales localizados en Madrid, Barcelona y Valencia. Pero, no solo integramos campañas en medios, sino que con datos, creatividad, tecnología y una visión única del negocio guiamos a las marcas a lo largo de todo su camino, lo que nos convierte en auténticos partners estratégicos. Nuestro gran valor, un equipo comprometido y unido, cargado de talento y con la ambición de ser mejor cada día. Son las personas que forman IPG Mediabrands las que impulsan las estrategias más innovadoras, las ideas más brillantes y la apuesta por todas las oportunidades que nos brinda el futuro. Nuestras agencias, UM, Initiative, KINESSO, Mediabrands Content Studio (MBCS) y Orion, aportan una visión integral de negocio para reinventar la forma en que se relacionan marcas y consumidores. Así, acompañan a algunas de las compañías más potentes del mundo en la generación de crecimiento constante.

Who are we? Filmin is the leading streaming platform for film lovers in Spain and Portugal. Independent cinema, documentaries to understand the world, the most award-winning series, great classics from film history, and privileged access to the world’s most important film festivals. The team Filmin’s Partnerships and Distribution team aims to drive subscriber acquisition and revenue growth and expand awareness of the Filmin brand through high-impact partnerships and B2B promotions. Our partners range from global tech and consumer-electronics brands (e.g., Apple, Google, Samsung) to local telco operators (e.g., MásOrange, Vodafone) and companies in sectors like retail and FMCG, all contributing to our ability to reach new audiences and broaden our impact. Working closely with the Marketing and Product teams, you will help solve our partners’ business challenges with inspired partnership and marketing solutions that spark excitement around Filmin. As a key point of contact for our Spanish and Portuguese partners, you will provide a critical link between Partnerships, Product, Editorial and Marketing. We are looking for a talented marketing professional with business development acumen who enjoys building close relationships with partners and is comfortable owning the full lifecycle of marketing and partnership projects—from strategy through execution. Responsibilities Support the Head of Partnerships with the ongoing management of commercial agreements with partners - such as contractual enforcement, renewal, maintenance, performance assessment or expansion. Own the marketing relationship with all partners as their first point of contact, fostering strong, collaborative relationships that drive mutual growth and success. Work with internal stakeholders and partners to identify business growth opportunities and to plan and execute impactful campaigns across partners’ channels that promote Filmin’s unique offering, ensuring consistent brand messaging and positioning. Work with the Marketing team to plan and execute data-driven marketing campaigns for acquisition, upsell and win-back among existing partners' customers. Identify and secure opportunities to showcase Filmin’s titles and brand across partner channels, highlighting curated content that resonates with target audiences. Measure the impact of marketing activities, analyse performance data and implement optimizations to meet both Filmin’s and partners’ objectives and improve campaign effectiveness. Skills Around 3–5 years of through-the-line (ATL/BTL) marketing experience, ideally within pay TV, telecommunications, digital distribution, video games, or music. Strong commercial acumen - understanding the concepts of value exchange and trading, with proven ability to translate strategic and commercial insight into successful business results. Proven success working with top telco, TV, electronics, brand, and/or agency marketers. Ability to interpret data and translate findings into clear business strategies that align with partners’ goals. Experience in developing upsell, cross-sell, and retention strategies based on data insights. Understanding of partner sales channels. Experience with affiliate marketing is a plus. Comfortable working in a fast-paced environment with minimal supervision. Highly organised and detail-oriented, capable of managing multiple projects simultaneously. Strong communication skills, comfortable collaborating across various internal teams (Partnerships, Product, Editorial, Marketing). Ability to bring stakeholders together to execute complex, integrated marketing initiatives. Enthusiasm for Filmin’s curated approach to content and a commitment to growing our subscriber base in Spain & Portugal. A genuine passion for film, series, and the broader entertainment landscape. Fluent in Spanish and English. Fluency in Portuguese is a plus. What we offer Permanent contract 3 days remote + 2 days office (in Barcelona) Flexible working hours We work until 1 pm on Fridays We work until 3 pm during Summer 23 vacation days + Extra Vacaction (Filmin Days) Coverage of the public transportation pass from your home to the office. Weekly trainings Training budget You can choose your equipment Friendly environment

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