Model/Anlys/Valid Sr Analyst

Citi • Tampa, FL

2d • Hybrid

About The Position

Citibank, N.A. seeks a Model/Anlys/Valid Sr Analyst for its Tampa, FL location. Duties: Develop, enhance, and validate methods of measuring and analyzing risk, for all risk types including market, credit and operational. Develop, validate and strategize uses of scoring models and scoring model related policies. Conduct statistical analysis for risk related projects and data modeling/validation. Apply quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language. Prepare statistical and non-statistical data exploration, validate data, identify data quality issues. Conduct data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues. Analyze and interpret data reports, make recommendations addressing business needs. Use Predictive modeling methods, optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences. Create formal documentation using statistical vocabulary. Generate 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. Validate assumptions, escalate identified risks and sensitive areas in methodology and process. Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.

Requirements

• Bachelor’s degree, or foreign equivalent in Financial Engineering or a related field, and five (5) years of experience in the job offered or in a related quantitative occupation conducting statistical analysis.
• Five (5) years of experience must include: Building, maintaining, and analyzing financial models using Python and R for risk and portfolio management purposes; Identifying, measuring, and supporting financial risks, investment opportunities and constructing portfolios; Understanding derivative markets and applying derivatives to manage financial risks; Modeling financial data using stochastic processes such as Brownian motion, Poisson processes, and Markov processes and applying concepts like Ito’s Lemma and risk-neutral pricing to develop quantitative models for risk measurement; and Applying probability distributions, Central Limit Theorem, Law of Large Numbers, and hypothesis testing to develop and analyze risk models for rigorous financial analysis.
• In the alternative, employer will accept a Master’s degree and three (3) years of experience.
• Employer will accept pre- or post- Master’s degree experience.

Responsibilities

• Develop, enhance, and validate methods of measuring and analyzing risk, for all risk types including market, credit and operational.
• Develop, validate and strategize uses of scoring models and scoring model related policies.
• Conduct statistical analysis for risk related projects and data modeling/validation.
• Apply quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
• Prepare statistical and non-statistical data exploration, validate data, identify data quality issues.
• Conduct data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues.
• Analyze and interpret data reports, make recommendations addressing business needs.
• Use Predictive modeling methods, optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences.
• Create formal documentation using statistical vocabulary.
• Generate 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.
• Validate assumptions, escalate identified risks and sensitive areas in methodology and process.
• Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.

Benefits

• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
• Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
• Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
• For additional information regarding Citi employee benefits, please visit citibenefits.com.
• Available offerings may vary by jurisdiction, job level, and date of hire.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees