Overview
The job holder proposes, initiates and manages mutliple ML projects together with business in order to address problems raised before linked to company OKRs and product enhancements using DS methods, processes and systems on unstructured, diverse Big Data sources. They also participates in strategic decicion circles and contributes to guiding business high level and providing strategic data guidance, which is required to allocate resources, decide strategically on projects and then cascade down to leads
The digital transformation of banking is creating positive changes for the Vietnamese market, directly impacting consumer behavior and opening up new career opportunities for professionals in the field. By choosing to invest heavily and long-term in Technology and Data, our client is proud to be a leading bank in this digital transformation journey, contributing to building a new era for the nation and, in particular, creating an outstanding working environment for its employees.
- $500 million USD: Investment in modernizing technology infrastructure, data, and digital growth
- platforms
- "Cloud-first" AWS: Pioneering the complete restructuring of technology infrastructure to serve
- millions of customers daily with a 30% reduction in turnaround time
- DATA Brain: Consolidating data from over 50 different systems onto a centralized cloud data
- platform and AI applications
- Adobe, Salesforce & Databricks: Comprehensive international partnerships to achieve world- leading standards
Starting in 2025, the bank will place a strong emphasis on advancing AI-related projects and applications to improve the efficiency of work, while enhancing customer experiences with the Bank’s products and services. Additionally, these initiatives will enable the leadership team to make faster and more accurate decisions.
Responsibilities
Data Solutioning
- Evaluate effectiveness of proposed models and track business performance KPIs against data model.
- Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, etc.
- Drive application of machine learning and big data techniques across different journeys and squads.
- Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.
Data Insighting
- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources together with business partners.
- Review processes and tools designed to monitor and analyze model performance and prediction accuracy.
- Proactively lead discussions in 3+ squads to identify questions and issues for data science
- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.
- Know at all times your data (size, average, distributions, outliers, CR, etc) and be able to estimate model output, impact and come up with sanity checks to detect bugs (discrepancies between expectations and results)
Project Management
- Own the project, manage POs, keep everyone on track from distractions, aligned towards lowest hanging fruit and KPI
- Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
Talent Development
- Manage allocated team, focus on retention and growth of the scientists, personal development and KPI
- Mentor and coach junior fellows into fully competent Data Scientists.
- Identify and encourage areas for growth and improvement within the team.
Requirements
- Master’s degree (or higher) in Statistics, Mathematics, Quantitative Analysis, Computer Science,
- Software Engineering, Information Technology or other Numerical Disciplines• 10+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models
- English proficiency requirements are pursuant to Techcombank's policy
- Deep experience in querying databases and coding (e.g. Python, R, Spark, Scala, SQL, Java, C, C++)
- Extensive experience in building data and analytics solutions and products, data mining and statistical analysis
- Experience in application of machine learning and AI to questions related to the financial markets
- Strategic decision taking and thinking, able to deal with very senior management, translate tech to business and vice versa
- Deep experience in Agile Software Development and has mastery of Agile principles, practices and Scrum methodologies
- Management experience, leading projects in the past, building and mentoring scientists, leading them towards success
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: uyen.nguyen@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
