Senior Data Scientist

* Division Purpose
-The Transformation Office is responsible for the execution of the Bank’s transformation vision, strategy and roadmap of deliverables with a focus on digitalization of customer journeys.
-The Transformation Office executes the portfolio of projects / initiatives pre-dominantly through an Agile methodology (some foundational projects will still follow the Waterfall method)
-The Transformation Office houses a variety of expertise to support the execution of the portfolio of projects/ initiatives such as technology, data analysis, risk modelling, design thinking, change management and digital partnerships amongst others.
-The Transformation Office tracks and measures the progress of the execution using modern portfolio management techniques (example, OKRs and TTIs) to ensure value is created.
* Tribe Purpose
-The Data & Analytics Tribe will support the business by identifying trends and helping business to anticipate future customer behaviors to better understand the implications of business decisions
-The Data & Analytics Tribe will leverage leading edge technology and capabilities, applying machine learning and statistical modelling to help stakeholders understand the changing business environment, discover new growth opportunities and determine where business improvements can be made
-The Data & Analytics Tribe will be equipped with capabilities in Big data, advanced analytics and Machine Learning
* Job Purpose
-The job holder supervises the set up of analytical tools to generate insights for customer journeys and product enhancements using programming methods, processes and systems to consolidate and analyze unstructured, diverse Big Data sources.
-The job holder will be required to take initiative in experimenting various technologies and tools with vision of creating innovative data driven insights for the business at the quickest pace possible and keep current with technical and industry developments
* Key Relationships
-Reports to Data & Analytics Tribe Lead.
-Direct reports are none.
-Internal stakeholders include teams and partners within the Transformation Office and other relevant departments in Techcombank.
-External stakeholders include partners providing professional services
* RESPONSIBILITIES
A.Data Solutioning
-Evaluate effectiveness of proposed models and track business performance against data analysis 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, customer journeys, graph modes, 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
B.Data Insighting
-Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources
-Review processes and tools designed to monitor and analyze model performance and data accuracy
-Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
-Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency
C.Managing Projects
-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
D.Managing Talent
-Mentor and coach Data Analysts into fully competent Data Scientists
-Identify and encourage areas for growth and improvement within the tribe

* Domain Expertise
-7+ years of experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models
-Deep experience in querying databases and using programming languages (e.g. C, C++, R, Python, Scala, SQL, Java, Tableau, R)
-Extensive experience in building data and analytics solutions, data mining, statistical analysis and data visualization
-Experience in application of machine learning and AI to questions related to the financial markets
-Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale
* Agile / Digital Experience
-Deep experience in Agile Software Development and has mastery of Agile methodology and practices
-Experience working in Agile teams to lead successful digital transformation projects, involved in the end-to-end planning to implementation
* Qualifications
-Bachelor's degree in statistics, mathematics, quantitative analysis, computer science, software engineering or information technology
* Personal Attributes
-Exemplary organizational skills with attention to detail & accuracy
-Ability to coach, mentor, and collaborate with business partners, analysts, and team members
-Assertive, with the confidence to be voice of authority – not afraid to do what is best for team
-Ability to build a sense of trust and rapport that creates a comfortable and effective workplace