CCB Risk Credit Forecasting Transformation at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Process improvement, Data analytics, Prompt engineering, SQL, Python, PySpark, Databricks, AWS services, Forecasting, Risk management, Data pipelines, Agile, JIRA, GenAI, Financial modeling

Industry

Financial Services

Description

Organization Description Our Consumer & Community Banking (CCB) 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. 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. Job Description We are seeking a dynamic and strategic forecasting transformation associate to drive the modernization and optimization of credit forecasting processes. This role will be responsible for leading cross-product initiatives to transform forecasting processes, integrate advanced analytics, and implement best-in-class tools and methodologies. The ideal candidate should possess a strong background in process improvement, data analytics and prompt engineering . The role involves working in partnership with model users (e.g., Loss Forecasting, Finance, Controller), Data Architecture and Technology, and Finance Automation & Execution (FAE) to enhance the end-to-end forecast across all retail products. You will establish best practices in data consumption and tools for reporting and analytics, resolve obstacles and drive discussions to achieve the target state, and support the implementation of the '1-click execution' vision across the Forecasting team. Job responsibilities * Streamline both model and non-model components processes and create comprehensive datasets (outputs) that will be used most of the time * Assist the Forecasting team in automating non-model processes in Databricks * 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 transformation projects and communicate solutions, roadmaps, and progress to multiple stakeholders (Forecasting team, Project Management, Finance, Product Owner, and Technology) * Creating data pipelines to connect data sources to multiple tools for quicker analytics * Automate and migrate legacy processes ensuring seamless execution and efficiency * Facilitate training and mentoring among peers on cloud capabilities and offerings, as well as analytical and reporting tools * Ensure firm wide 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 and collaboration Preferred qualifications, capabilities, and skills. * 4+ years of experience with strong problem-solving and interpersonal skills: a highly motivated, proactive, team player, confident in challenging the status quo, able to manage multiple projects simultaneously, and ready to work in a fast-paced environment * Prior experience with forecast execution or analytics in finance, risk management, or a related capacity * 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 such as S3 Bucket, EMR, SageMaker, Databricks, and data catalog tools * Knowledge of Agile/Productivity tools (e.g., JIRA, Confluence, GitHub) * Experience in prompt creation to leverage in house LLM suites, Copilot and other GenAI capabilities for code rewrite and analytics * Proficiency in MS Office (Excel, Word, PowerPoint, Visio) for creating procedures, process maps, and data analysis * Ability to present findings and recommendations to senior management and other stakeholders 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. 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.

Responsibilities

The associate will lead cross-product initiatives to modernize and optimize credit forecasting processes through advanced analytics and automation. They will collaborate with stakeholders to implement best-in-class tools and streamline end-to-end forecast execution across retail products.