JP Morgan hires exciting Data Analyst job in Bengaluru 2024.

JP Morgan is hiring for a Data Analyst job in Bengaluru 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at JP Morgan for the position of Data Analytics – Automation Associate in Bengaluru. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Jobs in Bengaluru or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

About Company

JPMorgan Chase & Co. is an American multinational finance company headquartered in New York City and incorporated in Delaware. As the largest bank in the United States and the world’s largest by market capitalization as of 2023, it plays a crucial role in the global financial system. The company offers a wide range of financial services, including asset management, investment banking, private banking, and retail banking through its Chase brand. With a history dating back to 1799, JPMorgan Chase has evolved through numerous mergers and acquisitions, becoming a diversified financial powerhouse. The firm is known for its significant influence in the financial industry and its commitment to innovation and service.

About Job Role

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.

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.

Requirements

• 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.

Why Join JP Morgan?

• With over 200 years of history, JPMorgan Chase is among the oldest and most respected financial service providers in the world.
• When you join this organization, you will be surrounded by individuals who are innovative, have excellent financial skills, and are dedicated to meeting customer needs.
• The company operates in a vast array of industries including investment banking, consumer & small business banking, commercial banking, asset management and financial transaction processing providing services to millions of clients across the globe under the well-known firms, J.P. Morgan Chase.
• But what makes JPMorgan Chase unique is its commitment to diversity and inclusion.
• They advocate for a work place that acknowledges the strengths of individuals and encourages the application of different talents which they consider to be a part of their triumph.
• The company’s commitment towards diversity is translated into its policies and practices, creating a platform where every worker is respected and made to feel that their input matters.
• Of most importance, in as much as JPMorgan Chase is an employer of choice, it considers applicants from all societies and backgrounds, and provides all the services required to address specific challenges.
• In joining JPMorgan Chase, you will also discover the organization’s extensive personal and professional development offer combined with the support for continuous training and enhancing one’s abilities.
• This position allows one to participate in the provision of significant financial services, while also allowing one to build one’s self both as a leader and a professional in an active, interesting and friendly setting.

Career Growth and Opportunities

• A Data Analytics – Automation Associate position in JPMorgan Chase offers a well delineated yet a questing career progression with ample opportunities for growth and development.
• This provides an insight into credit risk management and more so, risk management automations, which are among the highly dynamic aspects of the finance world today.
• Associates are encouraged to enhance their expertise in data analytics, predictive modeling, and machine learning, and can gain in-depth exposure to sophisticated tools and platforms like AWS, Databricks, SageMaker, and other cloud-based services.
• In the context of Loss Forecasting Team operating within the Consumer & Community Banking department, associates work in unison with forward-thinking specialists in areas such as forecasting, finance, technology, and even project management.
• This kind of interaction facilitates understanding of how different aspects of portfolio risk management function while also providing insights on not only the financial outlook but the different macroeconomic environments as well.
• Employees also become familiar with the best practices of the credit risk management system, which is useful both for the practice and personal development.
• JPMorgan Chase seeks to continually improve processes and share new knowledge and this makes it possible for associates to develop by using the guidance provided by mentors and advanced analytical tools in the strategy.
• Building up the associates’ skills and encouraging collective learning helps JPMorgan Chase in allowing the associates to undertake new initiatives and work on creative solutions ensuring an effective balance for growth for the future in areas like finance, analytics and more.

Industry Impact of the Role

• Within JPMorgan Chase as a Data Analytics – Automation Associate, this position can impact the financial industry by maintaining data-driven correctness and operational strength.
• You will be a big part of the bank’s ability to forecast credits on different portfolios through loss forecasting, automation and process optimization.
• This is an important function today, as it is the operational environment that defines how predictive capabilities provide insights with regards to regulation, vertical and horizontal capacity planning, and tactical decision-making, all of which are aimed at safeguarding the bank and its clients from risk. Also, your input will help JP Morgan Chase to uphold its risk management policy due to the provision of a holistic view of possible credit losses in a very transparent manner which is proportional to the international practices and standards.
• Data analytics is key to the consumer and community banking division of the bank, which has millions of customers, for effective risk management and market intelligence.
• This will build customers’ confidence and maintain the banker’s innovative service delivery that is bound to bear on the industry.

Learning and Development Opportunities

• JPMorgan puts a high premium on the learning and professional development of its employees, which also allows for deep learning and career advancement.
• With the Data Analytics – Automation Associate title, you will also gain exposure on a practical level with risk management, forecasting models and automation solutions, which will also entail the use of modern technologies such as AWS, Databricks and SageMaker.
• In this respect, the company provides constant cloud, data science and analytics tools training, so that you are in line with best practices in the market.
• In addition to the technical competencies, JPMorgan Chase emphasizes the importance of networking and social skills in the work organization as well as problem-solving and project management through interaction with different departments and clients.
• Moreover, learning from other high-ranking professionals and the availability of worldwide materials helps complete the picture, giving you everything you require to advance within and without the company.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including SQL, Python, PySpark is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

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Rishikesh Deshmukh

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