Data Scientist with Banking & Finance Experience

Job Description

Job DescriptionTitle: Data Scientist with Banking & Finance ExperienceLocation: Atlanta, GAWork Mode: Hybrid ( 3 days from office) (T, W, T)Over all Years of experience: Min 12+Years Must have:

• Python
• Jupyter
• TensorFlow
• Keras
• ScikitLearn

Experience needed

• BS degree in a STEM major or equivalent discipline
• 7-8 years of experience in a related analytical role
• Overall 12+ Years of experience
• Proven track record of designing and developing predictive models in real-world applications, preferably Banking and Finance domain
• Experience with model performance evaluation and predictive model optimization for accuracy and efficiency

Good to have experience

• Cloud certification strongly preferred
• Additional role-based certifications may be required depending upon region/BU requirement
• Passion for data science, data mining, machine learning and experience with big data architectures and methods
• Past Experience in SAS or Operations Research models

Roles and Responsibility

• Entity Resolution and Innovation, manipulate large data sets,
• Integrate diverse data sources, data types and data structures into solutions under management guidance.
• Analytical approaches to meet business requirements and
• explore integrating AI methodologies within Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
• Qualification
• Proven track record of designing and developing predictive models in real-world applications
• Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
• Additional role-based certifications may be required depending upon region/BU requirements
• Passion for data science, data mining, machine learning and experience with big data architectures and methods
• A master's degree in a quantitative field (Statistics, Mathematics, Economics)

Responsibilities

• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
• Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
• Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities
• Lead the development or projects with multiple deliverables, leveraging business and technical expertise
• Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
• Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
• Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
• Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy