Senior Data Scientist

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Job Description :

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Responsible for enabling analysis, modeling, and optimization through producing information products. Actively involved in the research and development efforts.

Primary requirement is not related to traditional programming or systems analysis skills but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

These systems must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) as well as deployment of advanced techniques (e.

g., machine learning, text mining, statistical analysis, etc.) to deliver insights. Responsible for adoption of enterprise information products through clearly communicating how enterprise information products answer material banking questions leading to decisions and actions.

This role often possesses an advanced degree in hard science or another heavy quantitative business or social discipline.

Able to lead or work independently on complex projects and influence strategic direction.

Skills :

• Artificial Intelligence / Machine Learning
• Business Acumen
• Presentation Skills
• Project Management
• Technical Documentation
• Candidate Screening
• Policies, Procedures, and Guidelines Management
• Consulting
• Performance Management
• Workforce Diversity Management

The individual will support 6 organizations as they develop models and submit requisite documents for the Artificial Intelligence (AI) Policy team (AIPSG) and the Model Policy team (MRM).

The documents are to be filled out with precision and need to be submitted in the proper sequence. The focus is on working closely with various Model Stakeholders to proactively assist them in improving their documents before they are submitted to the two policy teams.

High quality / timely document submission is a key portion of Model Validation, and is a prerequisite to using a Model for business purposes and staying compliant with the Enterprise Model and AI Model policies throughout the lifecycle of Model Development.

The individual will become an expert in the ever evolving AI Model Governance process and will focus much of their time working across various Global Technology teams to become familiar with over 140 models while improving the requisite Model Documentation.

In addition to working with Model Stakeholders, the individual will work with Third Party Management, Model Risk Management and AI Program Governance to understand process change to ensure a high-quality set of documents are produced.

As a senior member of the team this individual will also act as a leader and mentor the junior members of the team to raise the bar and gain additional capacity across the team.

This is part of a larger POP focused on (AI) Model Development Executive Support. This is NOT a people management role, rather, this is an individual leadership role where the individual needs to work across various teams and be comfortable and capable of interacting with executives on a regular basis.

Required skills :

• Process oriented skills
• Risk oriented skills
• Technical writing
• Background in large company governance concepts
• Good communicator to all levels of management and technical Model Developers
• Personal / helpful customer oriented gets along with people
• Attention to details
• Being well organized
• Ability to objectively review documents with the goal of improving the document

Desired skills / Experience :

• Prior experience working as a model validator
• Prior experience working as a Data Scientist
• Prior experience across with teammates / customers across the globe

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