Global Banking & Markets, Loan Management, CRE, Data Analytics, Vice President - Dallas

RESPONSIBILIITES:

• Lead Data management, Process uplifts and Strategic Reporting initiatives for the Commercial Real Estate (CRE) Lending Business in the US-based Data Analytics (DA) Team
• Engage with the Bangalore-based DA team on a regular basis to ensure synergy and work optimization
• Provide management and oversight of data across Global Banking and Markets (GBM) CRE teams, including data setup, database management, ETL and data validation.
• Interact with external vendors to develop, refine and implement strategic vendor solutions to address data management, Asset Management, Regulatory Reporting and Engineering needs for Commercial Real Estate
• Apply quality control, data validation, and data cleansing processes to new and existing data sources
• Identify and remove redundancies, reduce manual interventions and improve process efficiency effectiveness through automation
• Engage with business leaders and stakeholders across the GBM Commercial Real Estate business to understand and define their reporting and automation requirements
• Work closely with global and regional teams to architect, develop, and maintain reporting solutions
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
• Manage project timelines and completions for the initiatives driven by the team
• Coordinate with external vendors, Engineering and internal departments to define and drive business requirements and enhancements for Commercial Real Estate processes and data flows
• Facilitate communication between internal departments for shared use and clear definition of data elements

• Team-oriented with a strong sense of ownership and accountability
• Strong leadership, interpersonal, and relationship management skills
• Strong verbal and written communication skills
• 5 years of experience in data analysis, data modeling, strategic or regulatory reporting
• Commercial Real Estate or other financial industry experience
• Strong academic background - 4 year engineering, finance or similar background
• Proven track record collaborating in cross-functional teams to deliver outstanding products and solutions
• Highly organized and able to deal with multiple and competing priorities
• Excellent analytical skills with a proven ability to solve problems and deliver actionable insights to support the business and senior leadership
• Expertise in structured data management and governance, including effective data transformation processes and efficient data modelling principles
• Solid analytical/logical mindset and attention to detail
• Proficient in SQL and / or interacting with structured data
• Extensive experience in industry standard data transformation and reporting tools such as Tableau and Alteryx
• Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships.

• Experience in Python programming
• Experience in managing vendor solutions and implementations
• Understanding of structured finance, collateralized lending, fixed income or related finance modeling concepts