JPMorgan Chase & Co

We are looking for someone with a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data.. Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.. Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite).. Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization).. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

vice president

Job Description We are looking for a Data Scientist/ML Engineer to join our technology team to solve exciting business problems in the domain of commercial banking, payments and financial services. Job Summary As a Vice President, Applied AI/ML Lead in our technology team, you will have the opportunity to solve exciting business problems in the domain of commercial banking, payments, and financial services. You will be expected to apply your strong curiosity for data and your proven track record of successfully applying rigorous scientific methods with proficiency in ML Engineering and DevOps capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business. We are looking for someone with a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. You should also have strong software engineering skills and the ability to build systems that reach JP Morgan scale. Job Responsibilities <ul><li>Build and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Banking.</li><li>Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.</li><li>Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.</li><li>Build ML models across Public and Private clouds including container-based Kubernetes environments.</li><li>Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.</li><li>Build both batch and real-time model prediction pipelines with existing application and front-end integrations. </li><li>Collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations. </li></ul>Required Qualifications, Capabilities And Skills <ul><li>Advanced Degree in field of Computer Science, Data Science or equivalent discipline.</li><li>A minimum of 6 years working experience as a Data Scientist.</li><li>Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps.</li><li>Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms).</li><li>Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite).</li><li>Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization). </li></ul>Preferred Qualifications, Capabilities And Skills <ul><li>Experience working with end-to-end pipelines using frameworks like KubeFlow, TensorFlow and/or crowd-sourced data labeling a plus. </li></ul>ABOUT US JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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. 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. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans About The Team Commercial Banking is focused on helping our clients succeed and making a positive difference in our communities. We provide credit and financing, treasury and payment services, international banking and real estate services to clients including corporations, municipalities, institutions, real estate investors and owners, and nonprofit organizations.

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