Financial Analysis

3 weeks ago

Bengaluru, India JPMorgan Chase & Co. Full time

You are a strategic thinker passionate about driving solutions in Finance. You have found the right team.

As a Financial Analysis professional in our Consumer & Community Banking, you will spend each day defining, refining and delivering set goals for our firm

This Card P&A group is responsible for managing the monthly and quarterly forecast, earnings press release process, and annual budget/mid-year forecast reporting. The group also manages and/or leads financial/strategic projects and key analysis to provide insight and decision support to the Cards leadership team, including analysis used in Investor Day, Analyst presentations and Senior Leader Conferences.

The Quant Associate will be a member of the Cards Finance Analytics team, within the Card P&A group. The Team serves as a strategic unit within Card P&A group, that enables quantitative forecasting and leverages its skillsets to perform analytical deep dives ensuring the budget integrity and accuracy . 

Job Responsibilities:

Engaging in activities related to various stages of the model life cycle, related to the models a) directly owned or b) used by the group for the planning & Budgeting purpose Model Development : The associate is expected to contribute toward various model development efforts including but not limited to Time Series Forecasting models. They are expected to be a quick learner who are eager to learn and experiment with various quantitative techniques (. – Econometric Modelling, ML techniques) to solve business problems. Model Maintenance:   The associate is expected to facilitate the maintenance of the models owned by the team, as per firm’s model risk guidelines Model Forecast Generation:  The associate is expected to support various forecast generation activities using models owed / used by the team – ensuring the integrity of the inputs and output Model Improvement:  From time to time the associate is expected to participate in business user review and testing activities of the aforementioned models, and to provide recommendation for improvement of the models, as appropriate. Analytical Deep Dives:  The associate is contribute towards ongoing / ad-hoc analyses in a timely manner leveraging various analytical/data manipulation tools and techniques supported by strong business judgement. They are expected to have strong communication skills to articulate such analysis findings to the senior management Stakeholder Management:   The role requires interfacing with multiple stakeholders across the spectrum, including but not limited to CCB Leadership, various upstream/downstream teams and technology partners Project Management:  The associate is expected to work individually / as a part of a team to deliver various analytical and process improvement projects, producing timely, measurable and high quality deliverable Documentation and Reports: The associate is expected to support various documentation (. – Model documents as a part of regulatory submissions) and reports (shared with senior management/regulators) by leveraging strong written communication abilities.

Required qualifications, capabilities, and skills:

5+ years in Finance, management consulting or other financial/analytical/risk roles. Minimum Bachelor’s degree (Master’s degree preferred )in Analytics/ Economics or other related Quantitative majors,  Understanding of Econometric modelling (. – OLS, Time Series modelling) is required Expertise in python is required, understanding of macro-economic/business environment is a plus Strong Knowledge of Microsoft Word, Excel, PowerPoint Required,  Understanding of analytical and database platforms / framework . - Essbase / Databricks / SQL is preferred Strong quantitative, critical thinking and analytic skills excellent quantitative and analytical problem-solving skills, ability to comprehend and clearly communicate complex concepts in a fast- paced, dynamic environment Strong interpersonal, verbal and written communication skills

Preferred qualifications, capabilities, and skills:

CFA/FRM a plus Expertise in python is required, understanding of macro-economic/business environment is a plus Data Science capabilities, Experience in AI/ML is a plus Experience with automation is a plus 

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