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Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your knowledge in Counterparty Credit Risk and your skills in data analysis & problem-solving to Citi’s Product Development team, focused on Institutional Credit Management (ICM). Institutional Credit Management provides integrated end-to-end credit underwriting and credit risk management for Citi’s wholesale businesses. This data-analytics focused product development role will execute credit risk target state processes, data & technology capabilities. Based in London, co-located with Citi’s Senior Risk Officers, this role will position the right candidate for significant future growth potential in Data, Product Development and Credit Risk.
Job Responsibility:
Design, develop, and maintain advanced dashboards to support credit risk teams in monitoring and analyzing key metrics
Collect, clean, and analyse data related to credit risk - utilizing a data driven approach to determine the optimal solutions to meet strategic requirements
Identify data patterns & trends, and provide insights to business stakeholders
Collaborate with stakeholders to gather requirements, translate business needs into technical specifications, and drive development of new products and/or features and functionality of products
Act as the primary point of contact for stakeholders, as well as the data & analytics subject matter expect (SME), providing regular updates on project progress and addressing feedback independently
Proactively identify opportunities to enhance products and processes to improve efficiency and decision-making
Interact with business managers, technology, and sales to understand their long term vision, discuss industry trends, and incorporate them into the product & solutions strategy
Requirements:
Experience in contributing to a data/analytic capability in a financial institution
Foundational understanding of credit risk concepts and the ability to translate complex risk data into meaningful insights for stakeholders
Strong experience with data visualization tools and best practices (ideally using Tableau)
An ability to manipulate data using SQL and/or Python
Experience with low-code Extract Transform and Load (ETL) applications is preferrable (for example, Tableau Prep or Alteryx)
Strong communication skills, with the ability to present technical concepts to non-technical audiences effectively
A proactive and self-motivated approach to managing multiple projects and priorities in a fast-paced environment
Highly analytical & creative mindset
What we offer:
27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
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