Data Analytics Expert
hace 4 días
Elevate Your Financial Impact with Evalueserve
We are a leading global company that develops innovative and sustainable solutions for top clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries, we leverage cutting-edge technology, domain-specific AI, and deep expertise to elevate our clients' strategic decision-making.
Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble. We have a diverse team of 4,500+ professionals operating across the globe, offering a dynamic culture prioritizing flexible work-life balance, diversity, and equal opportunities.
We're recognized by Great Place to Work in India, Chile, Romania, the US, and the UK. As a Data Analytics Expert, you will join our Risk and Quant Solutions (RQS) team, addressing some of the world's largest financial needs with award-winning solutions.
Job Description- You will implement data quality standards, ensuring accuracy and completeness of variables for a specific financial product.
- Utilize data analytics skills to extract, compare, and clean data sets from various sources for credit risk model development and reporting purposes.
- Leverage programming skills in SAS, SQL, and Excel for data migration user acceptance testing.
- Demonstrate expertise in process description and framework, documenting control objectives, and assessing processes for efficiency and accuracy.
- Collaborate with cross-functional teams to establish and implement robust execution processes.
- Use Jira tool and scrum meetings for process tracking and team updates.
The estimated annual salary for this position is approximately $85,000, depending on location and experience.
Requirements- Bachelor's degree in Computer Science, Mathematics, or Engineering.
- Proven experience (4+ years) in data analytics with successful data extraction, analysis, and modeling.
- Strong background in credit risk management, including rating models, CECL, IFRS9, stress testing, and AIRB frameworks.
- Proficiency in SAS and SQL for data manipulation, analysis, and automation.
- Ability to conduct data analysis and support decision-making.
We are a dynamic, growth-oriented company prioritizing flexibility, diversity, and equal opportunities. This position does not offer remote or hybrid work options, and candidates must be available to work exclusively from the office.
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