DESCRIPTION:
Duties: Responsible for identifying key metrics and conducting in-depth analyses to guide business and inform strategy decisions. Work with cross-functional teams including Product Sales Marketing Account Management and Risk to help upsell and cross-sell products and to help improve our merchants experience. Partner with leaders across the business of Sales Marketing Finance and Account Management to deliver high-impact analytics. Identify and define a business challenge and craft a strategic analysis plan to uncover the necessary insights and solutions. Collaborate with leaders various internal teams and stakeholders across the company to develop insights and analytics solutions for both internal and external clients. Examine diverse data sources and develop statistical models to pinpoint trends and key factors supporting decision-making in product development sales strategies risk management and operational processes. Build data visualization by leveraging existing tools or developing new ones as well as providing ongoing enhancements to business dashboards. Implement processes and build tools to make data access extraction and analysis more efficient. Build and grow relationships with internal teams to proactively identify business needs and address them using analytics.
QUALIFICATIONS:
Minimum education and experience required: Masters degree in Business Analytics Data Science Machine Learning or related field of study plus 4 years (48 months) of experience in the job offered or as Data Scientist Decision Analytics Associate or related occupation.
Skills Required: This position requires four (4) years of experience with the following: Using Python to conduct complex analyses to solve unstructured problems via building predictive models using libraries NumPy Pandas Scikit-learn Scipy and Statsmodels; predictive modeling techniques including Logistic Regression and Decision Trees; unsupervised learning using K-Means clustering and elbow method; model interpretability via SHAP; Microsoft Excel (VBA Vlookup Index Match Pivot Tables). This position requires two (2) years of experience with the following: Customer Churn Predictive Models with supervised learning techniques leveraging XGBoost Random Forest and time series forecasting methods ARIMA Prophet and LSTM using libraries TensorFlow Keras Fbprophet; anomaly detection methods including Isolation Forest and One-Class SVM; Statistical Analysis and Hypothesis Testing capabilities including ANOVA and TURF Analysis; handling banking-related datasets including Customer Complaints Data and Payments Data; Financial Scenario Analysis and Risk Modeling using Monte Carlo simulations and scenario analysis; Dashboard creation and automation using Looker Tableau and Power BI; Advanced SQL including writing CTE Windows Functions and Stored Procedures; data pipelines leveraging Cron Jobs Shell Scripts and Python Automation; Log parsing and text processing using PERL; Data integration with Java backends via REST APIs; KPI tracking and reporting automation by integrating Python SQL and BI tools; Jupyter Notebooks for data analysis and visualization; Streaming and deployment with Apache Kafka and Docker.
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 discretionary incentive compensation which may be 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 addition please visit: Location: 545 Washington Blvd Jersey City NJ 07310.
Full-Time. Salary: $173945 to $210000 per year.
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 ov ... View more