Data Science - Bengaluru, India - JPMorgan Chase Bank, N.A.

JPMorgan Chase Bank, N.A.

Verified Company

Bengaluru, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

You are a strategic thinker passionate about driving solutions using python. You have found the right team.

As the Data Science Professional in our Global Service team, you will spend each day defining, refining and delivering set goals for our firm

You will be part of the Global Services team which functions as an internal business & metrics reporting and analytics group responsible for delivering highly quantitative and qualitative reports and analytics tools that support bankers, salespeople, and senior management agendas.

You will learn core business processes, build new ML capabilities, develop and deploy ML Models for metrics/management reporting, and provide decision support.

You will have the opportunity to work on high-impact initiatives that help drive profitability and efficiency across the Commercial Banking organization.

You will be responsible for assisting the business in ongoing development, deployment and maintenance of ML models.

Responsibilities:

Lead a small team of Data Scientists and Data engineers and drive agenda for Analytics and Insights team
Participate and provide valuable inputs in complex quantitative data driven efforts to drive business development in support of operations
Drive analytics capability development using advanced data techniques and statistical methodologies
Strong communication skills and the ability to distill information and results into simple concepts and actionable insights for a variety of audiences
Interact with business and functional stakeholders throughout the organization for understanding requirements.
Deliver data insights, business value and recommend next steps to senior stakeholders
Define, design, and drive high priority strategic initiatives with senior level visibility in areas above ranging from delivering business initiatives to engineering enabling capabilities

Required qualifications, capabilities, and skills:

7 to 10 years of experience, preferably in financial services or commercial banking
Bachelor's / master's in economics, Econometrics, Statistics, Engineering.
Strong Python hands on experience
Work experience with designing and building machine learning algorithms like Regression, Classification, Time series, Clustering, NLP, Linear programming, Vector algebra and understanding of rationale behind them
Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization)
Ability to understand business problems/processes and design solutions/methodologies that are rooted in data
Data querying techniques. (SQL, Hadoop, HIVE, AWS)
Experience in tools like JIRA and Confluence
Proven record to learn new Capability and Technologies given evolving nature of the job
Deliver data insights, business value and recommend next steps to senior stakeholders
Effectively communicate insights/recommendations (verbal and written)
Team player with a demonstrated strong work ethic.

Preferred qualifications, capabilities, and skills:

Understanding on CI/CD deployment environment
Experience with Bitbucket and Jules will be a plus
Fair Understanding on Airflow and DAG development
Ability to understand JP Morgan model risk policies and procedures and to be an advocate for the Insights and Analytics team to ensure products are deployed in a timely and sustainable way
Working knowledge of Tableau

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.

In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.