Citi Group Assistant Vice President Statistical Modeler FP & A- C12 

Malaysia, Penang, George Town 

755533599

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

• 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.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.

In this role, you’re expected to:

• 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; create 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.

• 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

Time Type:

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