Data Scientist (Vice President)

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Job Overview

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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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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