BNY Mellon Careers
Senior / Lead Data Scientist
Our Global Innovation Center Network focus on accelerating the bank’s innovation and digitization strategy. Singapore Innovation Center specializes on incubating digital client and internal capabilities, including data management, analytics, artificial intelligence, machine learning and intelligent automation.
Do you enjoy fast paced, iterative experimentation to high impact industry problem statements? Do you enjoy operating in lean start-up environment with the ability to bring data driven digital capabilities to market and see real impact of your contribution?
We are hiring Senior / Lead Data Scientist for our Singapore Innovation Center to lead our data science practice to work on some of the world’s largest data set and exciting problem statements in Global Investment lifecycle. You will collaborate with a multi-disciplinary team of product managers, engineers, UX/UI Specialists to work on wide array of problem statements and product opportunities.
You are the right fit for this role if you:
Enjoy continuous improvement and raising the bar constantly for the team and wider organization
Enjoy delivering highly complex, scalable and robust solution
Enjoy working with our global network of like-minded colleagues
Believe that data science is a team sport
A builder that excels in ambiguity
Are self-driven and entrepreneurial with a strong sense of ownership
Are able to understand business pain points and formulate them as technical problems that can be solved using data and math/stats/ML.
Have experience working as part of a product team, along with engineers and product managers, to define the problem and productize data science solution.
Have a broad set of technical skills (in addition to core data science) to take on some of technology's challenges
Have applied experience with machine learning on large datasets.
- Lead the development and design of the Innovation Centre’s vision, capabilities, infrastructure, and roadmap for the data science capabilities
End-to-end delivery of data driven product incubation, working with Product Management to gather and prepare data/features, to analyze data with programming/statistical languages (e.g. R, Python) and generate insights, to choose and deploy Machine Learning models, solving for the business opportunities identified.
Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Process, cleanse, and verify the integrity of data used for analysis
Data mine for important information and insights and present results in a clear manner and concise
Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Select features, build and optimize classifiers with machine learning techniques
Develop comprehensive knowledge of BNY Mellon data structures and metrics, advocating for changes where needed for product development.
Understands development and quality standards and ensures strict adherence to them
Write model documentation clearly and concisely and support findings with reasonable foundations
Sharing best practices and case studies, helping to lift the overall literacy
- Develop collaborations with product management and engineering team
Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
At least 7 years of experience in the analytics or related field
Strong expertise and hands-on experience in statistical analysis and modelling, machine learning models, data visualization.
Demonstrated experience in working with large, complex data sets
- Fluent in SQL, R, and Python
Familiarity with BI Tools such as Qlik and Tableau
Intermediate knowledge of big data technologies such as (Kafka/Flink/Spark etc)
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
Experience with agile development methodology
Effective written and verbal communication skills.
Advanced degree in a quantitative discipline.
Team leading experience, with a focus on building and leading (small) teams of data scientists.
Specialized knowledge in time series analysis, deep learning, NLP, and graph analytics
Experience in deploying machine learning model as cloud native application or container application
Demonstrated expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
BNY Mellon is an Equal Employment Opportunity Employer.
Primary Location: Singapore-Singapore-Singapore
Job: Information Technology
Internal Jobcode: 60151
Organization: Clearing Markets ISS Svcs Tech-HR16624
Requisition Number: 1905552