About The Company
J.P. Morgan is a globally recognized financial services firm committed to providing innovative financial solutions to individuals, corporations, and institutions worldwide. With a rich history spanning over a century, the company has established itself as a leader in investment banking, asset management, wealth management, and retail banking. J.P. Morgan's mission is to deliver exceptional client service through a combination of expertise, technological innovation, and a deep understanding of market dynamics. The firm prides itself on fostering a culture of integrity, diversity, and inclusion, aiming to create a positive impact on the communities it serves. As part of its commitment to excellence, J.P. Morgan continuously invests in cutting-edge technology and talent to stay ahead in a rapidly evolving financial landscape.
About The Role
We are seeking a highly skilled and motivated Data Scientist Associate Senior to join our Workforce Planning (WFP) Data Science team within the Consumer and Community Banking division. This role offers an exciting opportunity to work on complex, high-impact projects that directly influence operational efficiency and customer experience. As a key member of the team, you will be responsible for designing, developing, and deploying advanced AI/ML solutions that forecast demand, optimize capacity, and enhance scheduling across various channels, including call centers, back-office operations, and branches. The ideal candidate will possess a strong analytical mindset, technical expertise, and the ability to translate ambiguous business problems into actionable data science solutions. This role requires a proactive approach, collaboration with stakeholders, and a passion for leveraging data to drive strategic decisions in a real-time environment.
Qualifications
The ideal candidate will hold a Master’s Degree with at least 3 years of professional experience or a Doctorate (PhD) with at least 1 year of experience in a quantitative field such as Statistics, Data Science, Engineering, Operations Research, Economics, Mathematics, or related disciplines. Proven experience supporting AI/ML projects within a team setting is essential. Candidates must demonstrate hands-on experience developing and deploying statistical, machine learning, and AI models, along with a solid understanding of the mathematical foundations behind these algorithms. Proficiency in programming languages such as Python, R, or Scala is required, along with familiarity with big data technologies like Hadoop, Spark, SparkML, and SQL or Hive for data manipulation. Strong relationship-building skills and the ability to influence stakeholders positively are also critical for success in this role.
Responsibilities
Benefits
J.P. Morgan offers a comprehensive total rewards package designed to support our employees' well-being and professional growth. Compensation is competitive and commensurate with experience, including base salary, potential performance-based bonuses, and discretionary incentives such as equity awards. Employees are also eligible for a range of benefits, including extensive health care coverage, on-site wellness centers, retirement savings plans, backup childcare, tuition reimbursement, mental health resources, and financial coaching. The firm is committed to fostering a supportive and inclusive environment that promotes work-life balance and continuous development. Additional benefits and programs are tailored to meet individual needs and are communicated during the onboarding process.
Equal Opportunity
J.P. Morgan is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other protected attribute under applicable law. We believe that diverse perspectives and experiences drive innovation and better decision-making. We also offer reasonable accommodations for applicants and employees to support their religious practices, mental health needs, or physical disabilities. Our commitment to diversity and inclusion is integral to our success, and we welcome candidates from all backgrounds to join our team.