Data Analytics - Automation Associate

Posted 7 Days Ago
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Bengaluru, Karnataka
Hybrid
1-3 Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Responsible for executing credit loss forecasting models, automating processes, and leading analyses to improve loss performance. Collaborate with stakeholders, manage projects, and ensure governance. Preferred skills include data aggregation, SQL, Python, and familiarity with cloud offerings. Strong problem-solving and interpersonal skills are essential.
Summary Generated by Built In

Job Description
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As Data Analytics - transformation Associate in loss forecasting team, you will be responsible for executing credit loss forecasting models, diagnosing model accuracy, and leading analyses to assess relationships and patterns promoting loss performance of our product portfolio . You will get to spearhead automation and innovation framework within our function. You will be responsible for re-engineering of the processes by identifying, streamlining and automating redundant activities. Above all, t his role provides an exciting opportunity to develop your skills in a fast-paced environment .
Within the broader Consumer Credit Risk Management is the Loss Forecasting team. Our team provides reasonable forecasts of delinquencies, charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite), capacity planning and year-end budget in partnership with P&A, collections, recovery teams by means of various macro-economic scenarios. The team is also responsible for monitoring the health of the portfolio and updating stakeholders and senior management on emerging trends.
Job responsibilities

  • Streamline both model and non-model data components
  • Assist the Forecasting team in automating non-model allowances forecast components
  • Collaborate with multiple stakeholders to define requirements for a semantic layer or reporting cube for easy retrieval of overlays and reporting processes; enable AWS services and capabilities for fine-grain forecast analytics
  • Manage the delivery of ACLs-related projects and communicate solutions, roadmaps, and progress to multiple stakeholders (Forecasting team, Project Management, Finance, Product Owner, and Technology)
  • Facilitate training and mentoring among peers on cloud capabilities and offerings, as well as analytical and reporting tools
  • Ensure firmwide controls and governance are followed, escalate issues and risks appropriately, and collaborate with key stakeholders for resolution and recurrence prevention
  • Foster an environment of continuous improvement


Preferred qualifications, capabilities, and skills.

  • Strong problem-solving and interpersonal skills: a highly motivated, proactive, team player, with the ability to challenge the status quo and to manage multiple projects simultaneously, and ready to work in a fast-paced environment
  • Proficient in data aggregation and analytical/ML tools (e.g., SQL, Python, PySpark)
  • Experience with both structured and unstructured data, as well as semantic layers and cube dimensions
  • Familiarity with cloud offerings and capabilities including but not limited to -EMR, SageMaker, Databricks, and data catalog tools
  • Knowledge of Agile/Productivity tools (e.g., JIRA, Confluence, GitHub, IAHUB)
  • Proficiency in MS Office (Excel, Word, PowerPoint, Visio) for creating procedures, process maps, and data analysis
  • Comfortable to present findings and recommendations to senior management and other stakeholders.


Additional qualifications, capabilities, and skills that are desirable but not necessary

  • Knowledge of regulatory modeling (IFRS9 / CECL / CCAR)
  • Experience with forecast execution or analytics in finance, risk management, or a related capacity
  • Credit risk experience in one or more US consumer credit portfolios
  • Working knowledge of P&A, product analytics, statistical modeling, model execution


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 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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Top Skills

Pyspark
Python
SQL

What the Team is Saying

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Lupe C.
Edwin T.
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The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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