Exciting and dynamic role at the forefront of Capital RWA Reporting for Credit Risk Capital Firmwide. If you are a strategic thinker passionate about driving solutions in Finance, you have found the right team.

As a Risk-Weighted Assets Associate in the Capital Management team you will be responsible for end-to-end oversight of the firm’s capital management framework to ensure the firm is compliant with regulatory capital requirements and maintains fortress principles related to capital levels, capital distributions/buy-backs, capital stress testing and internal capital allocation. You will  work in close partnership with stakeholders within Risk, the Business and other Finance functions around the world to ensure a cohesive global approach to capital management.

The Basel Measurement and Analytics group within Capital Management produces and analyzes firm-wide Counterparty Credit risk regulatory capital results on a monthly basis. The team is responsible for implementation of Basel rules and enhancement to the Basel reporting infrastructure. 

You will work closely with Lines of Business, Model Implementation, Technology and Regulatory Policy to advance the Firm’s capital agenda in Retail Credit and Other Assets risk stripe.

 

Job Responsibilities:

Performs deliverables related to production of Retail Credit Risk RWA. Analyze RWA, perform trend analysis, forecast-to-actual results variances and provide insights for stakeholders and senior management Provide technical expertise and recommendations in gathering and documenting requirements, analyzing customer needs, and designing technical solutions Develop solutions primarily using Python and SQL Queries and also other tools like Databricks, Alteryx, Xceptor, SharePoint, MS Access, VBA Performs quantitative impact studies (QIS) for regulatory agencies. Understand the upcoming rules and regulations in Retail domain, determine data gaps, draft resolution plans, and create implementation processes for reporting Partners with risk management, lines of business and technology teams to identify and remediate data quality issues. Tracking and management of issues through to resolution Implements new business initiatives, model updates collaborating with stakeholders and partnering with Technology

Required qualifications, capabilities, and skills:

Bachelor’s degree in Finance/Quantitative Finance Major/CFA charter holders having strong technical skillset OR Computer Science graduates with Finance industry background High degree of passion for application / solution development – the ability to rapidly learn and apply new technologies to meet business goals is critical Good interpersonal, oral and written communication skills to collaborate effectively Ability to multi-task, decide prioritization and capability to make decisions, organized, self-motivated and be a team player Strong analytical and problem solving skills, with focus on controls. Superior attention to detail and process-orientation Should have extensive hands-on experience in Python scripting to automate data transformations, perform in depth data analytics, automate processes Should be in a position to develop solutions on Databricks platform using Python (PySpark, PANDAS, MatploLib, Seaborne) and SQL alchemy

Preferred qualifications, capabilities, and skills:

Strong proficiency in Python and its libraries/frameworks especially Data transformation modules like PANDAS, Numpy, PySpark Ideal candidate should have around 3+ years of experience in Python development, with a proven track record of designing, developing, and deploying complex python solutions in Banking/Finance.