JPMorgan Data Scientist Associate Sr 

India, Telangana, Hyderabad 

166078403

Job Responsibilities:

• Interact with the stakeholders to understand business needs and work closely with them to produce efficient solutions.
• Writing SQL Codes/Stored procedures/Python code capturing all the logics to identify the exceptions and testing data, developing Tableau dashboards – taking ownership end-to-end.
• Ensure codes are designed efficiently to maximize performance and consistency of reporting environment. Enhance ad-hoc reporting capabilities for broad user community.
• Ensure the reporting elements are organized, clearly labeled, and assigned meaningful descriptions. Ensure commonly used formulas and variables are built into reporting universe. Ensure all the reporting elements are automated and executing in a controlled environment and has appropriate documentation in Bit bucket repository.
• Pro-actively identify key growth areas and opportunities and communicate recommendations to the leadership team and various teams across the firm to influence and fine-tune our strategies.
• Collaborate with cross-functional strategy teams within consumer Bank to design and deliver customized analyses and synthesize the data into actionable insights to be delivered to the business.
• Providing regular updates to key stakeholders and senior leaders.

Required Qualifications, Skills, and Capabilities:

• Bachelor’s / Master's Degree in quantitative discipline such as business, finance, economics, engineering, statistics, information system, or mathematics with 4-7 years of experience in Data Transformation and Visualization.
• Hands-on experience writing complex SQL and Python code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred. Hands-on experience with standard data analytics tools and technologies (SQL, Tableau, Alteryx, Python & Snowflake).
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus. Self-motivated, goal-oriented, and able to manage and deliver in an innovation-operated and fast-paced environment.
• Should have a very good understanding of IT processes and databases. Should be able to work directly with Stakeholders/Partners and contribute to building controls reporting suite.
• Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.
• Leadership managed ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus.
• Superior judgment to mitigate risk, and to foster an environment where risk/control issues are escalated, and trends are anticipated and identified.
• Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts. Experience delivering analytics solutions under strict timelines quick turn-around.
• Experience working on Snowflake, AWS PySpark .

Preferred Qualifications, Skills and Capabilities:

• Previously worked in an insights function at a financial services firm or consulting firm supporting financial firms.
• Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.
• Are a lifelong learner and hold a growth mindset; we welcome candidates who geek out on industry podcasts, stay abreast of cutting-edge techniques, and love to share what they are learning with the rest of the team.
• Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.