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Data Science (Banking)
Оценка ИИCapco — престижная глобальная компания с сильной корпоративной культурой. Позиция предлагает работу над масштабными проектами в финансовом секторе, что отлично подходит для карьерного роста опытного Data Scientist.
Сложность вакансии
Оценка ИИВысокая сложность обусловлена требованием к опыту (5–8+ лет) и наличию магистерской степени. Работа в консалтинге для крупнейших банков требует не только глубоких знаний ML, но и развитых навыков управления стейкхолдерами.
Анализ зарплаты
Оценка ИИЗарплата в вакансии не указана, но для уровня Senior/Lead Data Scientist в Куала-Лумпуре рыночный диапазон составляет от 120,000 до 200,000 MYR в год. Capco как международный консалтинг обычно предлагает конкурентные условия, соответствующие верхней границе рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Data Science position at Capco. With over 6 years of experience in advanced analytics and a solid background in the financial services sector, I am confident in my ability to drive strategic decision-making through high-volume dataset analysis and machine learning.
In my previous roles, I have successfully led end-to-end analytics workstreams, focusing on customer portfolio optimization and propensity modelling. My technical proficiency in SQL and Python, combined with a Master's degree in a quantitative discipline, aligns perfectly with Capco's requirements for delivering scalable analytical solutions. I am particularly drawn to Capco's commitment to diversity and its reputation for working with the world's largest banks.
I am eager to bring my expertise in experimental design and stakeholder management to your team in Kuala Lumpur. Thank you for considering my application. I look forward to the possibility of discussing how my skills can contribute to the continued success of Capco's data-driven initiatives.
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Откликнитесь в capco уже сейчас
Присоединяйтесь к глобальной команде Capco и трансформируйте будущее банковских технологий с помощью данных!
Описание вакансии
Malaysia
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
ABOUT CAPCO
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
ROLE DESCRIPTION
Leads advanced analytics initiatives within a large-scale, data-rich environment, driving optimization and strategic decision-making across customer and business portfolios. This role translates complex, high-volume datasets into actionable insights and scalable analytical solutions, delivering measurable business impact through modelling, experimentation, and performance tracking. Working in a cross-functional setting, the individual will combine strong technical capability with commercial acumen to influence strategy and enable data-driven growth.
Key Responsibilities
- Lead end-to-end analytics workstreams across customer and business portfolio optimization initiatives
- Analyze large-scale transactional and behavioral datasets to identify growth, efficiency, and risk management opportunities
- Develop, validate, and deploy statistical and machine learning models to support business strategy
- Conduct segmentation, lifecycle analysis, propensity modelling, and performance optimization analysis
- Design and evaluate experimentation frameworks, including A/B testing, control groups, and impact measurement methodologies
- Prepare and transform structured and unstructured data for advanced modelling and reporting
- Enhance and optimize analytical code and processes for scalability and efficiency
- Develop dashboards and reporting tools to monitor performance and communicate insights
- Translate complex analytical findings into clear, strategic recommendations for stakeholders
- Partner with cross-functional teams to operate data-driven initiatives
- Support senior leadership reporting through structured storytelling and performance tracking
- Document methodologies and contribute to analytical best practices and reusable assets
Qualifications
- Master’s degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline
- 5–8+ years of experience in data science, advanced analytics, or quantitative strategy roles
- Experience working with large-scale, high-volume datasets in a complex business environment
- Strong foundation in statistical modelling, machine learning, and quantitative analysis
- Proficiency in SQL, Python, or similar analytical tools • Solid understanding of experimental design and causal analysis
- Ability to translate analytical outputs into strategic business recommendations
- Strong communication and stakeholder management skills
- Experience in consulting, enterprise, or data-driven organization is an advantage
NEXT STEPS
If you’re looking forward to progressing your career with us, please do not hesitate to apply. We are looking forward to receiving your application.
To learn more about Capco and its people check out the website on www.capco.com
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Навыки
- SQL
- Python
- Machine Learning
- Statistical Modeling
- A/B Testing
- Data Visualization
- Stakeholder Management
- Causal Inference
Возможные вопросы на собеседовании
Вакансия предполагает работу с крупными банками, где транзакционные данные огромны.
Расскажите о вашем опыте оптимизации SQL-запросов или Python-кода для обработки терабайтных наборов данных.
В описании указано проектирование фреймворков для A/B тестирования.
Как вы подходите к выбору размера выборки и контролю внешних факторов при проведении экспериментов в банковской сфере?
Роль требует перевода аналитики в бизнес-рекомендации.
Опишите случай, когда результаты вашей модели противоречили ожиданиям бизнеса. Как вы доносили эти выводы до руководства?
Упоминается моделирование склонности (propensity modelling).
Какие признаки (features) вы считаете наиболее важными при построении модели оттока или склонности к покупке банковского продукта?
Capco — это консалтинг. Важна способность быстро адаптироваться.
Как вы приоритизируете задачи, когда работаете над несколькими проектами для разных банковских клиентов одновременно?
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