Financial Solutions Analyst
Job Purpose:
The RUBY Model Onboarding team partners with Global Process Owners (GPOs) to standardize and design processes, ensuring alignment with standard data and technology platforms. This team serves as a central point of contact for strategic initiatives within Finance and Risk, providing a unified view of technology design, architecture, and prioritization.
As a Senior Model Onboarding Specialist, Candidate will play a key role in supporting Citi's forecast processes by operating and managing RUBY (Forecast platform), a critical tool used for Interest Rate Risk, CCAR, and internal financial forecasting. Candidate will be involved in supporting both regulatory-mandated external forecast scenarios and internally focused planning and analytical exercises. This role involves a combination of executing existing forecast processes and collaborating with business and technology partners to identify and develop enhancements, improvements, and new functionality.
Key Responsibilities:
- Model Onboarding: Onboard new and revised models onto the RUBY platform, ensuring accuracy, efficiency, and adherence to established standards.
- Financial Analysis: Analyze Citi’s Financial statements like P&L and Balance Sheet for macro-economic or qualitative driver-based trends. Add qualitative inputs to Finance stakeholders number reviews using tools like Python, SQL
- Collaboration: Partner with business and technology teams to identify and implement platform enhancements, improvements, and new features.
- Data Analysis: Analyze data inputs and outputs, ensuring data integrity, validity, and accuracy.
- Problem Solving: Troubleshoot and resolve issues related to model onboarding, data quality, and platform functionality.
- Communication: Communicate effectively with stakeholders, providing regular updates on project status and addressing any concerns.
- Risk Management: Identify and mitigate risks related to model onboarding and platform stability.
Qualifications:
- 2-3+ years of experience in financial services, with a focus on model development, validation, or implementation.
- Strong understanding of financial models, forecasting methodologies, and data structures.
- Good knowledge of Banking products, how financial institutions make money and impact of macro-economic conditions on the industry
- Experience with SAS, Java, Python, or other modeling languages is a plus.
- Proficiency in SQL and data analysis techniques.
- Excellent communication, interpersonal, and problem-solving skills.
- Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Finance). Master's degree preferred.
Competencies:
- Technical Proficiency: Strong understanding of modeling tools, technologies, and data management principles.
- Analytical Skills: Ability to analyze complex data sets and identify trends and patterns.
- Problem Solving: Ability to identify and resolve technical and business problems.
- Communication: Ability to communicate effectively with technical and non-technical audiences.
- Collaboration: Ability to work effectively in a team environment.
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Job Family Group:
Finance------------------------------------------------------
Job Family:
Financial Solutions Design & Implementation------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Assessment, Change Management, Communication, Credible Challenge, Management Reporting, Problem Solving, Program Management, Risk Management, Stakeholder Management, Strategic Planning.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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