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Barcelona, España Strands A tiempo completo

ABOUT STRANDS Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. Join the team, make an impact Would you like to work for a robust, established, leading international Fintech? Strands is a fintech company with almost 20 years of experience in Open Finance, Machine Learning, and AI . Our mission is to enhance customer engagement for financial institutions . As a part of the CRIF group of companies , we are committed to creating highly-personalized digital money management solutions that help people to better manage their lives and their businesses , and to make better financial decisions We, at Strands, are committed to create cutting-edge products that meet the needs of the financial sector, and talent is essential to achieve this goal. We are looking for passion, creativity, and commitment . ABOUT THE ROLE If you are looking for a mission-critical role where you get to combine your client facing skills with data analysis and data modelling expertise driven by client business challenges, and you aim at being a key member of our Barcelona Office, Strands is waiting for you We are seeking a Business Consultant with a strong Data Analytics and Data Science background to support the implementation, optimization, and strategic evolution of Strands’ digital engagement products in the financial sector. This role is central to helping our clients unlock the full value of Strands’ data-driven platforms—enabling them to deliver more personalized experiences, enhance digital engagement, and drive customer-centric strategies leveraging actionable insights. Previous experience in the banking or financial services sector is required You will be doing things like... Act as a strategic advisor for our clients, ensuring successful adoption of Strands’ solution being an analytics-driven digital engagement platform Translate banking business needs into data-driven product configurations, analytical models, KPIs, and actionable insights Analyze customer behavior, financial patterns, and digital journeys to recommend engagement strategies aligned with each bank’s objectives Support the design and optimization of predictive models used for personalization, segmentation, and financial recommendations Play a centric role in the end-to-end product implementation cycle: starting from discovery, analytics and solution design, up to implementation support, evaluation, and continuous improvement Collaborate with Product, Data Science, Engineering, and Customer Success teams to enhance the impact of our solutions Present complex analytical findings to non-technical and executive stakeholders within our clients’ organisation You are proficient in... Cross-Functional Collaboration: Exceptional ability to collaborate closely with Sales, Engineering, and product teams Presales & Stakeholder Engagement: Demonstrated experience effectively communicating complex technical concepts to non-technical audiences Analytic Pre-sales Approach: starting from the client needs and the understanding of their processes, use the available data and information in order to design a Proof of Concept (PoC) that proves our offer value Product-Oriented Data Science: understanding of how data science insights inform product development and user experience Technical Proficiency: Strong command of Python and standard machine learning libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Exposure to LLMs: Familiarity with Large Language Models (LLMs) and their potential applications Bilingual Fluency: Professional working proficiency in both Spanish and English Communication & Presentation: Excellent verbal and written communication skills to articulate complex data insights Problem-Solving & Analytical Thinking: Strong analytical skills with a data-driven approach to problem-solving Required Qualifications Mandatory experience in the banking or financial services sector Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Engineering, or a related field Minimum 5 years of working experience in similar role preferably in financial industry Proven experience in data analytics, consulting, or data science roles, ideally in a client-facing environment Strong understanding of financial products, customer journeys, and digital banking KPIs. Proficiency in SQL, Python, R, or similar analytical tools Strong business acumen with the ability to translate data insights into strategic recommendations Excellent communication, stakeholder-management, and storytelling skills Preferred Qualifications Experience implementing or optimizing digital banking solutions (PFM, BFM, personalization engines, engagement platforms) Experience in marketing campaign design in financial sector Familiarity with machine learning, predictive modeling, segmentation, and recommendation strategies Experience with cloud platforms (AWS, GCP, Azure) Consulting experience within fintech or banking transformation projects You'll love it because you will get... Competitive salary; Opportunities for professional growth and development; A collaborative and supportive work environment; Private health care insurance; Gym free pass; Meal vouchers; Subscription to unlimited online training courses by Udemy; Flexible working hours; Snacks and food, Fresh organic fruit, drinks, tea, coffee and juices; Cutting-edge technologies; Hybrid model of working from home and office attendance. xsgfvud Don’t hesitate to apply even if you are not sure to cover all requirements, we would love to see your profile