Business Modeling - Applied AI ML Senior Associate

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. Job Description Join a team that consists of an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on applied AI and quantitative modeling. As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world’s largest repositories of consumer data. Job Responsibilities Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi‑faceted business problems. Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations. Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results. Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues. Become a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline. Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group. Mentor junior team members. Required Qualifications, Capabilities, And Skills Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field. Ph.D. is a plus. Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders. Experience in developing machine learning, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling). Proficiency in at least one programming language is required, with Python preferred. Strong analytical, interpretive, and problem‑solving skills, with demonstrated ability of thinking outside the box. Significant experience working with very large scale (structured and unstructured) data. Preferred Qualifications, Capabilities, And Skills Familiarity with big‑data environments (e.g. Hadoop, Spark). Model development experience on a cloud development platform. Banking & Financial Services background or experience. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. Equal Opportunity Employer/Disability/Veterans We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. #J-18808-Ljbffr hackajob