Data Science Open Positions Across Levels and Experience

Key Skills

BERT, Data science techniques, Deep Learning, Effective communication skills, Financial Risk, Natural Language Processing (NLP), Project management, Python Programming, R Programming, Random forests, SQL

Job Description

Data Science role across Levels

US Personal Banking Analytics (USPBA) Data Science team is expanding, and we are looking for Data Science experts across levels who have experience between 5 years to 15 years for experience.

What do we do?

USPBA – Data Science 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 you?

We are seeking an experienced Data Science candidate who should be able to perform below behaviors in their day to day role:

• 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.
• Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management
• Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.
• Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
• Domain expert – Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization, digital journey, Customer experience and control automation
• 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
• 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
• People Management Role – Total 7+ Years’ experience with at least 2+ year of experience in people management role, Should be prepared and proactive in gaining full understanding of your people’s performance, and makes decisions regarding staffing, Goal setting, performance evaluation, promotions, terminations, etc

Skillset you should possess

The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems. Apart from these, they should also have the following skillset

Basic Qualifications

• Bachelors/Master’s Degree with 5+ years of experience in data analytics
• Hands-on experience in Python or R programing along with strong experience in SQL.
• Comfortable working in packages such as Pandas and Numpy
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data preprocessing and feature engineering skills.
• Experience implementing Machine learning algorithms such as Random Forest and Gradient Boosting in solving business problems such as recommender systems.
• Experience implementing deep learning techniques like artificial neural network, convolutional neural networks and recurrent neural networks
• Experience with Computer vision, text recogntion (OCR), natural language processing, BERT, word embeddings
• Strong background in Statistical Analysis
• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Strong People management skills
• Should have experience of working in onsite, offsite delivery model
• Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Should have excellent communication and inter-personal skills
• Strong process/project management skills
• Multiple stake holder management
• Ability to guide and Mentor Juniors
• Control orientated and Risk awareness

Preferred Qualifications

• Experience in Credit Cards and Retail Banking