Data Scientist with banking and finance experience Position Available In Fulton, Georgia

Data Scientist with banking and finance experience

Title:

Data Scientist with Banking & Finance Experience

Location:

Atlanta, GA

Work Mode:

Hybrid ( 3 days from office) (T, W, T)

Visa:

Any (NO OPT and CPT)
Over all Years of experience: Min 12+Years
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

91163922

Position Id:

8611189