Rsk/ Assistant Vice President Testing Strategic

Citi; Ciudad de México; Presencial; MXN 1,171,000 - 1,532,000; Jornada completa

Descripción de la vacante

A global financial services firm in Mexico City is seeking an experienced individual to manage and analyze risks in various capacities. The ideal candidate must have 5-8 years of analytical experience, proficiency in tools such as SQL and Excel, and a Bachelor's degree in a quantitative field. Key duties include developing methods to measure risk and conducting statistical analyses for risk-related projects. The position also emphasizes collaboration across teams, making it essential for candidates to possess strong communication and organizational skills.

Formación

• 5-8 years experience in an analytical capacity.
• Proficient in Microsoft Office, especially Excel.
• Experience in Risk Banking preferred.
• Technical skills in SQL, Python, SAS, or R.

Responsabilidades

• Develop, validate methods for risk measurement and analysis.
• Lead data analysis for various risk-related projects.
• Prepare statistical documentation and report findings.
• Automate data extraction and maintain data processes.

Conocimientos

SQL

Python

SAS

Risk Banking

Data Analysis

Project management

Educación

Bachelor's degree in a quantitative field

Advanced Degree (Masters)

Herramientas

Microsoft Excel

PowerPoint

Visual Basic

Descripción del empleo

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; escalates 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.

Description / Responsibilities

• Coordinate and collaborate recommendations and approvals of tests with key stakeholders, senior management and external regulators.
• Understand the financial and operative impacts of testing and new strategies.
• Participate in the implementation of tests in live operating environments within the organization.
• Train line and operating personnel in experimental design principles, data management and financial tracking practices.
• Assist internal in the ongoing tests and track their performance.

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
• Bachelor’s/University degree or equivalent experience
• Bachelor's degree in a quantitative field (Statistics, Physics, Applied Mathematics, Econometrics, Engineering)
• Advanced Degree (Masters) is a plus
• Experience in Risk Banking preferred
• 5+ years of experience in an analytical capacity required
• Working knowledge and ability to communicate in English is a must
• Experience with SQL, Python, SAS or R
• Understanding of consumer credit risk management preferred
• Understanding of Consumer Credit Profit & Loss Drivers preferred
• Excellent written and verbal communication skills, and be able to prepare presentations for executive level audience and familiarity with Power Point, Excel, Visual Basic
• Experience in international markets will be a plus
• Detail-oriented, high level of intellectual curiosity and strong sense of ownership
• Demonstrated ability to multi-task effectively and work against tight deadlines
• Good business acumen and the ability to connect analytics with business decisions

Education

• Bachelor’s/University degree or equivalent experience

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.

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