React Software Engineer III
Aumni
Job Description
At J.P. Morgan Chase & Co., we are a global leader in financial services, committed to innovation, integrity, and excellence. We empower our clients to achieve their financial goals while fostering a culture of inclusion and community engagement.
As a Product Manager, you will drive the creation of innovative products that leverage data and technology to optimize processes and enhance analytics for Finance, P&A, and Business Management functions. You will lead the development of FRAME, a cloud-native Finance Research, Analytics, and Modeling Engine.
Job Responsibilities:
- Define and communicate product vision and strategy aligned with business goals.
- Develop and maintain a product roadmap, prioritizing features based on business value and customer needs.
- Ensure products meet user needs and deliver exceptional experiences.
- Collaborate with engineers and data scientists using cloud-based tools (e.g., AWS, Databricks, MLFlow, Python).
- Analyze data to extract insights, define KPIs, and optimize product performance.
- Collaborate with senior executives and cross-functional teams.
- Lead and mentor a team, fostering a culture of innovation and collaboration.
- Ensure compliance with regulations and best practices.
Required Qualifications, Capabilities, and Skills:
- MS/MBA degree or equivalent experience.
- 10+ years of experience in product management with a proven track record.
- Proficiency in statistical and machine learning techniques.
- Strong technical skills, including experience with Python, R, or SAS.
- Excellent analytical, problem-solving, and communication skills.
- Customer-centric mindset with a passion for exceptional user experiences.
- High adaptability and resilience in a fast-paced environment.
- Strong ethical standards and integrity.
Preferred Qualifications, Capabilities, and Skills:
- Experience with FP&A and model-based forecasting.
- Understanding of the model development and execution lifecycle.
- Familiarity with data visualization tools.
- Experience in deploying platforms for ML Engineers and Data Scientists.