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JPMorganChase

Data Analytics - Automation Associate

Posted 5 Hours Ago
Hybrid
Bengaluru, Karnataka
Entry level
Hybrid
Bengaluru, Karnataka
Entry level
As a Data Analytics - Transformation Associate, you will execute credit loss forecasting models, automate processes, and analyze data to enhance the forecasting of credit loss. Responsibilities include collaborating with stakeholders, delivering projects, ensuring compliance, and providing training on tools and cloud capabilities.
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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 a Data Analytics - Transformation Associate within the Loss Forecasting Team, you will execute credit loss forecasting models, diagnose model accuracy, and lead analyses to assess relationships and patterns that influence the loss performance of our product portfolio. You will have the opportunity to pioneer automation and innovation within our function, and will be responsible for the re-engineering of processes by identifying, streamlining, and automating redundant activities. This role offers an exciting opportunity to enhance your skills in a dynamic and 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


Required 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.


Preferred qualifications, capabilities, and skills

  • 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
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 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

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