Senior Associate, Customer Operations (CO) Data Science Analyst, Technology %26 Operations

Senior Associate, Customer Operations (CO) Data Science Analyst, Technology %26 Operations

DBS Bank Ltd
Singapore
2-5 years
Not Specified

Job Description


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 %26lsquo;connecting the dots%26rsquo; 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%26rsquo;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.Singapore-DBS Asia Hub

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