Senior Associate, Customer Operations (CO) Data Science Analyst, Technology & Operations Senior Associate, Customer Operations (CO) Data  …

DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Senior Associate, Customer Operations (CO) Data Science Analyst, Technology & Operations
Business Function
Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
Key Accountabilities and Responsibilities
  • Collaborate with cross-functional teams/stakeholders (spanning across Business and Technology) to identify and prioritize actionable, high-impact insights in the customer servicing domain
  • Closely partner stakeholders to design experiments, perform data iterations and present/share the results of the data with relevant stakeholders (e.g. Management, squad members) in an easily digestible format.
  • Lead the solutioning of real-time predictive analytics from actionable insights to proactive customer interventions
  • Perform full life cycle on Data Science activities, including from conceptualization to operationalization and outcome measurements
  • Build and maintain data-driven optimization models; develop processes/tools to regularly test quality in ensuring model accuracy and performance
  • Good Business knowledge in 'connecting the dots' from the data to solving business problems using, but not limited to, customer behavioral analytics, clustering, classification and deep learning algorithms
  • Ability to understand the business operations as a whole and translate questions into effective analysis based on the goals behind the specific tasks under Customer Operations
  • Innovate to deal with data imperfections; data munging and using algorithms to efficiently organize large data sets.
  • Design and build automated reporting dashboards on our data visualization platforms
  • Support other Analytics projects/initiatives and share knowledge within CCTR Analytics Team
Work Relationship
  • Direct Reporting to Customer Operations (CO) Analytics Lead
  • Collaboration and cross-sharing of knowledge within CCTR Analytics Team
  • Cross-functional collaboration with working teams in Customer Centre in an AGILE manner
  • Customer Centre's Management Team
  • Potentially other Business and Support units in cross-collaborative Data Analytical projects
Education & Experience
  • Minimally University degree in mathematics, applied statistics, data mining, machine learning, computing or related quantitative discipline with a strong background in statistical concepts and calculations
  • Preferably at least 2 years of experience in a data analyst function or in building statistical data model sets
  • Good understanding of statistical and predictive modeling concepts, machine learning approaches, NLP concepts, and recommendation and optimization algorithms
  • Strong working experience in the following:
    • Python, Pyspark, Spark SQL, MySQL
    • Hadoop eco-system (Hive, HDFS, Pig etc.)
    • Data engineering pipeline experience including real time data computation
    • End to end data science workflow experience, starting from data extraction, wrangling, modelling and deployment in production environment
  • Deep and practical understanding on implementing high performance, well-behaved analytics applications; data ingestion, feature engineering, model selection, training, validating and deployment
  • Experience creating real time and rich data visualizations that involves large datasets
  • Experience manipulating structured and unstructured data sources for analysis
  • Business Knowledge or prior experience in the consumer banking/customer center area would be advantageous
Core Competencies
  • Strong combination of analytical skills, intellectual curiosity, and with a strong appetite for challenges
  • Highly adaptable, able to pick up new methods and techniques quickly and apply towards solving a problem at hand
  • Comfortable working in a fast paced, hypothesis driven, collaborative, and iterative engineering environment
  • Comfortable deconstructing complex/open-ended problems which may not yield a clear-cut solution
  • Meticulous and structured individual with good time management to oversee/ manage or prioritize multiple deliverables
  • Integrity and maturity to manage the sensitivity of data
  • Excellent written and verbal communication skills
  • Good team player with the ability to work collaboratively as part of a squad while maintaining the ability to work independently in carrying out tasks to completion aligned to original goals with minimal supervision
Technical Competencies
  • SQL Coding Expertise
  • Excellent working knowledge with programming languages such as SQL, R, Python
  • Mathematical/Statistical Knowledge (Basic Statistics and Relational Studies including ANOVA, Chi-Square, Clustering etc; Machine Learning & Predictive Algorithms expertise would be an advantage)
  • General proficiency in MS Office (Excel and PowerPoint)
  • Knowledge in data visualization tools such as Qlikview, Tableau
Apply Now​
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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