Model/Anlys/Valid Sr Analyst -AVP -(Hybrid)

• The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits
• Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
• Responsibilities:
  • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
  • Conducts statistical analysis for risk related projects and data modeling/validation.
  • Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
  • Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
  • Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
  • Analyzes and interprets data reports, make recommendations addressing business needs.
  • Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; write formal documentation using statistical vocabulary.
  • Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
  • Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
  • Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
  • 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.
  Qualifications:
  • 5-8 years experience
  • Proficient in Microsoft Office with an emphasis on MS Excel
  • 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:
  • Bachelor's/University degree or equivalent experience

Summary: This role will support consumer risk scoring related modeling, documentation, adhoc analytics, automation related activities for certain consumer portfolios including credit cards, loans, and others.

Software skills:
Strong knowledge of Python, SAS, SQL.
Preferred knowledge of R
Working knowledge of big data tools such as PySpark, Hadoop, Hive etc

Domain experience:
Preferred knowledge of scoring model development
Preferred knowledge of credit risk, lending

Analytics skills:
Working knowledge of data manipulation, processing
Working knowledge of predictive modeling such regression, decision trees, gradient boosting machines, random forests, neural networks etc

Competencies:• Develops a strong understanding of data structure and systems used for Development and data storage. • Understands and correctly applies different statistical techniques with necessary guidance from manager.• Creates Data Quality reports and identifies data quality issues.• Completes model development related tasks with limited guidance / supervision. • Proficient in at least a visualization tool and uses the appropriate graphs, charts and tables to present analysis with minimal guidance.• Presents to stakeholder under manager's supervision.• Understands model development policies and builds compliant models with minimal help from manager.• Ability to execute, debug and modify complex code• Able to debug simple code written by others• Ability to write basic code from requirements• Focus on became proficient on the key tools/ languages used in the team best practice• Has a general understanding of the financial service industry and consumer products. • Has knowledge of regulations and understanding of Model Risk Management and Fair Lending policies and controls for Risk model development.• Demonstrates ability to independently write all portions of the model documentation.• Contribute to team presentations with slides/tables.• Execute tasks in the agreed upon timelines. Assesses risk to the timelines and escalates.• Listens instructions and feedbacks. • Able to structurally articulate relevant information about performed tasks to peers and managers.• Ability to summarize meetings/ write minutes that correctly summarize the discussion held.

Job Family Group:
Risk Management

Job Family:
Risk Analytics, Modeling, and Validation

Time Type:
Full time

Citi is an equal opportunity and affirmative action employer.

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.

Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

Effective November 1, 2021, Citi requires that all successful applicants for positions located in the United States or Puerto Rico be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccination prior to commencement of employment.