Data Science (Banking)

Навыки

• A/B-тесты
• Коммуникация
• Решения на данных
• Лидерство
• Machine Learning
• Python
• SOLID и паттерны

О компании и продукте

• Capco is a global technology and business consultancy focused exclusively on the financial services sector. We partner with leading banks and financial institutions to help them succeed in an increasingly data‑driven, regulated, and fast‑evolving industry.
• At Capco, you’ll work on high‑impact analytics and transformation initiatives for some of the world’s largest financial services organizations. We foster an inclusive, entrepreneurial culture where individuality is celebrated and people are encouraged to #BeYourselfAtWork. Diversity, in all its forms, is fundamental to our success.
• Capco is seeking a Senior Advanced Analytics / Data Science Lead to drive sophisticated analytics initiatives within large‑scale, data‑rich financial services environments.
• This role is ideal for an experienced analytics professional who enjoys working at the intersection of data science, business strategy, and decision‑making. You will lead complex analytics workstreams, translate high‑volume data into actionable insights, and deliver scalable, insight‑driven solutions that drive measurable business outcomes across customer and business portfolios.

Задачи

• Advanced Analytics & Modelling
• Lead end‑to‑end advanced analytics initiatives, delivering optimization, growth, and risk insights across customer and business portfolios
• Analyse large‑scale transactional and behavioural datasets to uncover opportunities for commercial performance and efficiency
• Design, develop, validate, and deploy statistical and machine learning models to support strategic decision‑making
• Conduct segmentation, lifecycle analysis, propensity modelling, and performance optimisation
• Experimentation & Measurement
• Design and evaluate robust experimentation and testing frameworks, including A/B testing and control groups
• Establish methodologies for impact measurement and performance tracking
• Data Engineering & Scalability
• Prepare, transform, and structure large volumes of data for advanced modelling and analytics
• Enhance and optimise analytical code and processes to ensure scalability, robustness, and efficiency
• Insight Communication & Stakeholder Engagement
• Translate complex analytical outcomes into clear, compelling, and actionable insights for senior stakeholders
• Develop dashboards and reporting solutions to monitor performance and communicate trends
• Support senior leadership through structured storytelling, insight summaries, and performance reporting
• Collaboration & Thought Leadership
• Partner with cross‑functional teams to embed analytics into business initiatives
• Document methodologies and contribute to reusable analytical assets and best practices across Capco
• Qualifications & Experience

Требования

• Degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
• 5–8+ years’ experience in advanced analytics, data science, or quantitative strategy roles
• Strong foundation in statistical modelling, machine learning, and quantitative analysis
• Hands‑on proficiency in SQL, Python, or equivalent analytics tools
• Solid understanding of experimental design and causal inference
• Proven ability to translate analytics into commercial and strategic recommendations
• Strong stakeholder engagement and communication skills
• Preferred
• Experience in consulting, financial services, or large data‑driven organizations
• Exposure to analytics use cases within banking, payments, risk, or customer analytics environments
• Why Join Capco?
• Work on market‑leading analytics programmes in the financial services industry
• Partner with senior clients on strategic, data‑driven decisions
• Be part of a rapidly growing APAC team with strong career acceleration opportunities
• Thrive in an inclusive, entrepreneurial, and high‑performance culture

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.