Business Analytics Analyst 2:

About CITI

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.

Analytics and Information Management (AIM)

Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.

What do we do?

The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.

The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems.

Role Description

• The role will be Business Analytics Analyst 2within the Model governance area of North America Consumer Bank team. Responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in North America Consumer Bank.
• This role requires a balance of technical understanding, regulatory procedures/policies and strong documentation skills.
• The role will report to the AVP / VP leading the team

What do we offer: The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA model governance team will focus on the following areas of work:

Role Expectations:

• Detail-oriented - Ensure all model-related records are detailed, accurate, and complete covering various aspects of a model lifecycle and further align with Citi internal controls and policies
• Effective collaboration - Work closely with model developers, business partners, validators and stay up to date on policy changes and guidelines
• Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Communication skills – Ability to clearly articulate technical thoughts and business context to both technical and non-technical stakeholders.
• Strong sense of Ownership - Ability to own and deliver multiple projects in parallel. This would require an understanding of business context, technical specifications and even greater understanding of internal controls/policies/processes.
• Continuously enhance process to improve efficiency and consistency across teams
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Role Responsibilities:

• The Business Analytics Analyst 2 is a developing professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based.
• Primary focus areas would be model governance related responsibilities for multiple portfolios. Responsible for creating, updating and maintaining detailed documentation of the outcomes from model monitoring & review process, performed at regular intervals.
• Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards; Provide guidance to business on governance best practices.
• Oversee the model inventory and ensure all the work is properly documented, undergone appropriate validation and approval processes, compliant with policies, procedures and relevant deadlines associated with the validation, ongoing monitoring and model change processes
• Incumbents are required to work with large and complex data sets using a variety of tools (Python, PySpark, SQL, SAS, R etc.) to help evaluate/monitor performance of existing models.
• The analyst will work with other members in the team, along with peers from model risk management (MRM) and fair lending compliance teams.
• Requires attention to detail when making judgments and recommendations based on the analysis of factual information.
• Uses strong analytical and process management skills for quality control over deliverables.
• 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

What do we look for:

If you are a bright and talented individual looking for a career in AIM, Citi has amazing opportunities for you.

• Bachelor’s Degree with 3 years of experience in data analytics, or Master’s Degree with 2 years of experience in data analytics, or PhD.
• Technical Skills
  • Hands-on experience in PySpark/Python/R/SAS programing along with proficiency in Microsoft Office tools
  • 2-4 years of experience in model risk management, model validation/ monitoring / reporting and documentation in financial services
  • Understanding of model risk regulations and fair lending laws.
  • Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
  • Strong background in Statistical Analysis with exposure to Machine Learning & Deep learning modeling techniques
  • Capability to validate/maintain deployed models in production
• Consistently demonstrates clear and concise written and verbal communication skills
• Strong project management skills with capability to handle multiple projects at one time
• Self-motivated and detail oriented
• Experience in Credit Cards and Retail Banking is preferred
• Competencies
  • Strong communication skills
  • Multiple stake holder management
  • Strong analytical and problem solving skills
  • Excellent written and oral communication skills
  • Strong team player
  • Control orientated and Risk awareness
  • Working experience in a quantitative field
  • Willing to learn and can-do attitude
  • Ability to build partnerships with cross-function leaders

Education:

• Bachelor's / master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute

Other Details

• Employment: Full Time
• Industry: Credit Cards, Retail Banking, Financial Services, Banking

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