JPMorganChase is looking to transform data into actionable insights to enhance planning, efficiency, service, and controls within Commercial Banking by leveraging advanced data techniques and driving continuous improvements.
Requirements
- Proficiency in programming languages such as R, Python, SQL.
- Experience with analytical tools like Alteryx, Trifacta, and distributed file systems like Hadoop.
- Familiarity with visualization tools such as Qlik Sense, Tableau, D3.
- Experience with cloud computing platforms, particularly Amazon Web Services.
- Ability to design and execute repeatable and scalable data solutions.
- Exposure to designing and building machine learning algorithms.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and related methods.
Responsibilities
- Lead data analytics and insight generation initiatives using hands-on data science techniques.
- Develop experimental frameworks to facilitate data collection.
- Define comprehensive analytics approaches leveraging business knowledge, statistical methodologies, data techniques, and machine learning algorithms.
- Build models and data applications to produce actionable insights.
- Create impactful visualizations to deliver simplified insights messaging.
- Synthesize business needs and identify optimal data solutions.
- Deliver data insights and recommend next steps to senior stakeholders.
Other
- 3 years of data science experience within financial services or commercial banking.
- Strong passion for data and ability to drive analytics capability development using advanced data techniques and statistical methodologies.
- Collaborate with business and functional stakeholders on analytics initiatives.
- Strong communication skills to effectively convey insights and recommendations.
- Team player with a strong work ethic and professionalism.
