Senior Analyst/Data Scientist - Investment Bank

Job Opportunity with Investment Bank looking for Data Scientist experience in CNN/KNN and Deep learning

As a Business Analytics Sr Analyst, we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day to day role:

- 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 and digital journey.

- 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.

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 : 

- Master's Degree with 3+ years of experience in data analytics, or PhD.

- Hands-on experience in Python or R programing along with strong experience in SQL.

- Comfortable working in packages such as Pandas, Numpy, Scikit-learn or similar packages in R.

- 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.

- At least 5 years of experience implementing Machine learning algorithms such as Random Forest and Gradient Boosting in solving business problems such as recommender systems.

- At least 3 year of experience implementing deep learning techniques like artificial neural network, convolutional neural networks and recurrent neural networks

- Exposure to deep learning packages like Tensorflow, Theano and Keras.

- Knowledge on latest cutting-edge technologies like reinforcement learning.

- 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.

- Experience in Credit Cards and Retail Banking

- 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 SAS will be preferred