Capital Data Management- Assistant Vice President at Citi

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Governance, Data Analysis, Financial Analysis, Risk Management, Excel, PowerPoint, Tableau, Knime, Problem Solving, Process Execution, Communication Skills, Technical Problem-Solving, Strategic Mindset, Data Quality, Forecasting

Industry

Financial Services

Description

Manage design and execution of data processes related to the ICAAP and Quarterly Multi-Quarter, Multi-Scenario Forecasting (QMMF) process, including Design and development of CCAR/QMMF models and associated infrastructure, process and controls Supports the team and assists manager with the execution of forecasting and stress testing production process with data quality focus including tracking progress against deliverables and solving data concerns before they become material issues Preforms data analytics including in-depth financial analysis, key risk drivers and sensitivity analysis, and determination of implications for capital, balance sheet composition, and liquidity profile Performs day-to-day activities of the assessment of relevant data quality processes and ensure appropriate existence and effectiveness of data controls Assists in remediating outstanding Regulatory, Risk Management, and Audit data issues Participates in the identification of areas for data improvement across the process and maintain continuous improvement mind-set Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. 5-8 years relevant experience, including, but not limited to data governance Foundational knowledge of the different systems, theories and practices relevant to a function as well as practical experience of multiple business cycles. Knowledge of data analysis, data profiling, application of data controls and implementation of data quality rules Proficiency in the use of Excel and PowerPoint Knowledge of technologies supporting data analysis including Tableau and Knime a plus Excellent communication skills required in order to influence a wide range of audiences. Able to navigate through a large organization to streamline and summarize multiple information points and create repeatable processes to build consistency in presenting information. Strong technical problem-solving skills and an ability to identify conflicts, discrepancies and other issues and bring together the right team to solution them. Strategic mindset, ability to plan ahead to future possibilities and translate them into breakthrough strategies. Ability to manage competing priorities and tasks in a complex and dynamic and work well as part of a team. At a minimum, a Bachelor's degree from a recognized higher education institution Prefer at least a Bachelors' degree in Finance, Accounting, Business or related field ------------------------------------------------------ Job Family Group: Finance ------------------------------------------------------ Job Family: Capital Planning and Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Business Acumen, Capital Planning and Management, Data Analysis, Financial Modeling, Internal Controls, Management Reporting, Problem Solving, Process Execution, Risk Identification and Assessment. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

Manage the design and execution of data processes related to ICAAP and QMMF, including model development and data quality focus. Assist in remediating regulatory and audit data issues while identifying areas for data improvement.