Urgent! JP Morgan Chase - Applied AI ML Associate - Data Analytics Team Job Opening In Bengaluru – Now Hiring JP Morgan Chase
<p>- We offer an exciting opportunity to advance your quantitative modeling career in a team that values creativity and excellence.<br/><br/>- As an Applied AI ML Associate in the Data Analytics team, you will design and develop statistical and machine learning models that drive informed decision-making across the firm.
You will collaborate with diverse teams and contribute to impactful solutions supporting business objectives.<br/><br/> Job responsibilities:<br/><br/> - Identify data anomalies and investigate issues during model development<br/><br/> - Perform advanced quantitative and statistical analysis of large datasets to uncover trends and patterns<br/><br/> - Clean and prepare modeling datasets for analysis<br/><br/> - Build statistical and econometric models for budgeting, financial analysis, and regulatory requirements<br/><br/> - Develop machine learning models for optimal pricing decisions across Deposits, Auto, Home Lending, and Cards products<br/><br/> - Communicate modeling results to Finance partners, Risk teams, and Model Governance<br/><br/> - Mentor team members in model development and statistical analysis<br/><br/> Required qualifications, capabilities, and skills:<br/><br/> - Graduate degree (M.S. or Ph.D.) in Statistics, Economics, Mathematics, Operations Research, Engineering, or Computer Science<br/><br/> - Five years of hands-on model development experience<br/><br/> - Strong programming skills in Python or PySpark<br/><br/> - Proficient in statistics, econometric modeling, and time series analysis<br/><br/> - Experience with linear and non-linear modeling, panel data analysis, Bayesian and non-parametric methods<br/><br/> - Solid foundation in machine learning theory and end-to-end development<br/><br/> - Experience in big data processing with Spark or Hadoop and Unix operating systems<br/><br/> Preferred qualifications, capabilities, and skills<br/><br/> - Hands-on experience in budget and regulatory (CCAR) modeling for Deposits, Wealth Management, or lending products<br/><br/> - Expertise in Python; familiarity with PySpark, TensorFlow, and Gen AI applications<br/><br/> - knowledge of TensorFlow is an advantage<br/><br/> - Experience hosting and maintaining machine learning applications; knowledge of container services is a plus<br/><br/> 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.<br/><br/> 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 :</b> For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job.
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Unlock Your JP Morgan Potential: Insight & Career Growth Guide
Real-time JP Morgan Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for JP Morgan in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 168 jobs in India and 64 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in JP Morgan roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! JP Morgan Chase is currently hiring and seeking a JP Morgan Chase Applied AI ML Associate Data Analytics Team to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a JP Morgan Chase Applied AI ML Associate Data Analytics Team Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for JP Morgan Chase Applied AI ML Associate Data Analytics Team typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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