JPMorgan Regulatory Capital Data Analyst Automation Specialist 

Poland, Masovian Voivodeship, Warsaw 

113054920

As a
Regulatory Capital Data Analyst and Automation Specialist within theBasel Measurement and Analytics (BM&A) group within Capital Management you will be dedicated to producing and analyzing firm-wide Counterparty Credit risk regulatory capital results on a monthly basis. This team plays a crucial role in implementing Basel rules and generating risk-weighted assets numbers for the firm, ensuring compliance and strategic capital management.

You will be at the forefront of data analysis, design, and development of automated solutions, enabling us to deliver strategic systemic sourcing and implement enterprise solutions. Your role involves close collaboration with team members globally to ensure a unified approach to capital management. Additionally, you will work closely with Lines of Business, Model Implementation, Technology, and Regulatory Policy teams to advance the firm's capital agenda in Retail Credit risk, driving innovation and efficiency in capital management processes.

Job responsibilities:

• Implement new business initiatives by identifying data elements within the firm, updating models, collaborating with stakeholders, and partnering with Technology.
• Gather and document requirements by analyzing business needs, and design and develop technical solutions to address these needs.
• Provide technical expertise and recommendations for selecting and developing intelligent automation tools like Alteryx, Databricks, and Python.
• Perform data research and analysis using SQL queries, and create dashboards using Databricks and Tableau.
• Understand upcoming rules and regulations in the Retail domain, determine data gaps, draft resolution plans, and create tactical implementation solutions with a path for strategic enterprise implementation.
• Partner with risk management, lines of business, and technology teams to identify and remediate data quality issues.

Required qualifications, capabilities, and skills:

• 3+ years of experience in Python development, with a proven track record of designing, developing, and deploying Python solutions in Banking/Finance.
• Hands-on experience with Python and its libraries/frameworks (NumPy, PySpark, Pandas, Matplotlib, Seaborn) for automating data transformations and calculations
• Exposure to automation and developing machine learning algorithms to detect anomalies
• Bachelor’s degree in Finance/Quantitative Finance or CFA charter holders with a strong technical skillset, or Computer Science graduates with a finance industry background.
• Strong analytical and problem-solving skills with a focus on controls, and superior attention to detail and process orientation.
• Extensive experience with SQL for data analytics.
• Good interpersonal, oral, and written communication skills for effective collaboration.
• Ability to multi-task, prioritize, make decisions, and be organized, self-motivated, and a team player.