Applied AI/ML

Job Description
DESCRIPTION:
Duties: Identify strategic and operational challenges that can be solved through data, and apply machine learning and deep learning techniques to solve financial problems around payment optimization and recommendation. Pose identified problems in formats conducive for quantitative modelling. Apply descriptive and predictive models to address quantified business problems, including linear and non-linear time series techniques for time series prediction. Access and query various databases and data sources to create data sets required for predictive and descriptive analytics. Work on highly confidential data assets and perform exploratory analysis to check for missing elements and outliers to establish data integrity. Combine business understanding with theoretical knowledge to augment available data by performing feature engineering. Identify evaluation metrics to measure performance of models. Build both batch and real-time model prediction pipelines and work with data engineers to address scalability issues in testing and production environments for machine learning deployment platforms. Collaborate with multiple partner teams such as Business Management, Technology, Product Management, and Compliance to deploy solutions into production. Transform the outcomes of machine learning models into metrics of business impacts to enable accurate assessment of the risks involved and explain complex concepts to senior management and stakeholders.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Quantitative Methods in Social Sciences, Data Science, Financial Engineering, or related field of study plus 2 years of experience in the job offered or as Applied AI/ML, Research Associate, Data Analytics Assistant Manager, or related occupation.
Skills Required: Requires 2 years of experience in the following: Python; SQL; Hadoop; Pyspark; Tableau; Machine Learning Classification; linear and logistic regression; random forest algorithm; XGBoost; any dimensionality reduction techniques such as PCA, SVD, or T-SNE; statistical simulation; hypothesis testing; bootstrapping. Requires 1 year of experience in the following: R; Pytorch; Tensorflow; Shell Scripting; AWS Cloud Services; Hive; Jupyter Lab; any time series techniques such as ARIMA; GLM; GBM Ensemble methods; Kmeans Clustering; Hierarchical Clustering; deterministic and stochastic optimization; linear algebra; multivariate calculus.
Job Location: 383 Madison Ave., New York, NY 10179. Telecommuting permitted up to 40% of the week.
Full-Time. Salary: $180,250 - $195,000 per year.
About Us
JPMorganChase, 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. 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.
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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.