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Shape your Career with Citi
Citi’s Risk Management organization oversees Citi’s risk governance framework and risk appetite, ensures all risks generated by the firm’s businesses are measured, reviewed, and monitored on an ongoing basis.
We’re currently looking for a high caliber professional to join our team as Officer, Model/Analysis/Valid Intermediate Analyst - Hybrid (Internal Job Title: Model/Anlys/Valid Intmd Anlyst - C11) based in Bangalore, India. 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. For instance:
Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
We empower our employees to manage their financial well-being and help them plan for the future.
Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.
In this role, you’re expected to:
The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams
Responsibilities:
Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types. Also, may develop, validate and strategize uses of AI/ML models, Generative AI models.
Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management.
Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements.
Identifies potential risks and escalates for further review.
Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence.
Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents.
Works with more senior staff in investigating and responding to customer and operational complaints.
Interacts and works with other areas within Risk Management, as necessary.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
As a successful candidate, you’d ideally have the following skills and exposure:
2-5 years' experience in Natural Language Processing, AI, Machine Learning model development and/or validation. Generative AI experience is preferred.
Proficient in Python
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Education:
Master's degree (or above) in quantitative fields
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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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