Svp- Data Sciences- Us Personal Banking Analytics - Bengaluru, Karnataka, India - Citi

Citi

Verified Company

Bengaluru, Karnataka, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.

ANALYTICS AND INFORMATION MANAGEMENT (AIM)

Citi AIM was established in 2003, and is located across multiple cities in India - Bengaluru, Chennai, Pune and Mumbai.

It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.

What do we do

The North America Consumer Bank - Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.

The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems.

What's expected from this role
We are seeking an experienced data science leader who should be able to perform the below in their day to day role:

Client Obsession/Conceptualize and Drive Proof of Concept
Explore and Create New client centric analytic solution to business problems. Individual should be able to have an holistic view of multiple businesses and develop analytic solutions accordingly.

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Communication skills

Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management

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Strategic acumen - Should possess ability to see the big picture of business, identify and understand emerging trends, challenge status quo and design goals for growth
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Modeling and Tech Savvy

Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team.

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Statistical mind set

Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling.

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Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations

Skillset

PHD or master's with 10+ years of relevant experience of building and deploying Statistical Models
Domain expertise in building Customer Acquisition, Risk, Engagement, Marketing Models preferably in Financial or retail industry
Experienced in performing a player and coach role in a large fast moving matrixed organization.
Well versed with necessary data preprocessing and feature engineering skills.
Minimum 45 years of experience in solving business problems by implementing ML algorithms (Random Forest and Gradient Boosting), Deep Learning techniques (artificial neural network, convolutional neural networks)
Experience in Python or R programing along with strong experience in SQL with an appetite to explore new languages given technical constraints.
Have excellent communication skills in clearly articulating and presenting teams work to senior management in a structured and simpler form.
Should have experience in managing parallel projects involving multiple stakeholders.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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