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25910304 Data Scientist (Vice President)

25910304 Data Scientist (Vice President)

CITIBANK N.A.WorkFromHome, Singapore, Singapore
10 days ago
Job description

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi , you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citi Global Wealth (CGW) brings together the full power of Citi to serve the entire continuum of wealth clients, from affluent to ultra-high net worth to family offices. The strategies we create help our clients maintain liquidity while maximizing yields, transact in foreign currency and across borders, and manage fluctuating expenses or cash flow. We are uniquely suited to helping our clients meet their banking needs across regions through our global network.

Citibank serves as a trusted advisor to our retail, mortgage, small business and wealth management clients at every stage of their financial journey. Through Citi's Access Account, Basic Banking, Citi Priority, Citigold and Citigold Private Client, we offer an array of products, services and digital capabilities to clients across the full spectrum of consumer banking needs worldwide. We’re currently looking for a high caliber professional to join our team as Data Scientist (Vice President) - Hybrid based in Singapore . Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.

The Specialized Analytics / Data Science Lead is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function / job family.

Data Scientist will play a pivotal role in designing and executing advanced analytics and AI / ML initiatives at Citi Wealth. The role requires a leader who will implement and execute the data science practice at Citi Wealth and run initiatives to deliver significant customer and business wins. Ideal candidate will have a strong track record in delivering commercial wins using advanced analytics and data science and deep understanding of the wealth management industry.

Responsibilities

  • Lead the end-to-end product lifecycle for Data and AI products, from ideation and requirements gathering to development, launch, and post-launch performance monitoring.
  • Collaborate effectively with a wide range of stakeholders, including Senior Leadership, Sales, Marketing, Technology, Risk, Compliance, and Operations, to gather requirements, manage expectations, and secure alignment for Data and AI products
  • Uncover hidden customer features through advanced statistical, quantitative or ML-driven methods to feed into insights and segmentation.
  • Leverage and utilize unstructured data, with the use of NLP techniques or LLMs to design, create and develop customer features, product features and transaction enrichment to enhance campaign and model performance.
  • Development of understanding customers’ attitudes and behavior in pricing and demand through design and development of models and tests.
  • Improve campaign performance through the development, and application of machine learning and recommendation models
  • Optimize model performance balancing precision and recall through but not limited to fine tuning, parameter optimization and ensemble building. Enhance customer lifecycle management through event and anomaly detection, inferencing and estimation and time series analyses.
  • Use of advance analytics, AI / ML methods to prescribe to rank possible next best actions for customers and financial advisors
  • Develop scalable frameworks relating to the data science practice on different domains to be able to build-once deploy many.
  • Apply objective measurements to evaluate and uphold fairness in models
  • Design solutions to automate model monitoring and performance
  • Ensure all data products and analytics solutions adhere to Citi's risk, compliance, and regulatory standards, including data privacy (e.g., GDPR, CCPA) and ethical AI principles.

Qualifications

  • 10-15 years of experience in building data science / quantitative solutions and some managerial experience
  • Working experience in a quantitative field, Financial / Wealth Management industry
  • Must have Demonstrated ability in data retrieving and manipulation as well as proficient analytical skills, familiarity with analytics tools and platforms (e.g., Tableau, Power BI, Python / R / Dataiku, Adobe Analytics for data analysis) an advantage
  • Superior communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
  • Proven track record of successfully launching and managing data-intensive products from conception to scale.
  • Understanding the spirit and letter of model governance
  • Excellent interpersonal communication skills with ability to convey complex information to diverse audiences effectively
  • Education

  • Bachelors / University degree, Master\'s degree in Business Administration, Data Science, Computer Science, or a related field is preferred
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