Verified Job
Accounting - Finance
BIUData Science Generalist TeamData Science
Accounting - Finance
#302148
Remote / WFH
Job Description
Analytics is one of top focus areas for the bank and this position represents opportunity to be part of high growth teams driving innovation. This role involves understanding of model building and reviewing.
Key Responsibilities:
The candidate will be responsible for the following in his/her job role:
Co-own the business goals & lead problem solving, work in an agile manner with business partners, Risk-review committee members , data engineering and IT.
Lead and mentor team of data scientists and help deliver on projects in a time bound fashion.
Innovate by adapting new modeling techniques and procedures
Work in a self-directed environment, own tasks and drive them to completion
Qualifications:
Advanced degree (master's or above) in a quantitative subject such as Engineering, Mathematics, Operations Research, Statistics, Economics or Finance
Post graduation or B.Tech, M Tech in Computer Science or Engineering field Role Proficiencies:
The candidate is required to have:
Fluency in Python, SQL/SAS – hands on relevant experience
2-6+ years of experience in building models, with some years in building credit-Risk models
Prior experience in BFSI domain a plus
Should have good knowledge of advanced ML techniques (Logistic, XGboost, RF, ANNs, Ensembles) and understand the end to end deployment aspects
Knowledge of dockers/containers, micro services is a plus Solid spoken and written communication skills
Should have strong analytical thinking and be able to convince stakeholders on the same using data-based evidence
About Axis
Incorporated in 1++4, Axis Bank is one of India's most trusted banks & the third largest in the private sector. At Axis Bank, customer centricity has always been the foundation of our business. Our efforts to address the requirements of a diverse customer cross- Axis BankInternal section are powered by robust infrastructure, advanced technology, a comprehensive monitoring & control framework & a large talent pool.
The Bank has a young & engaged workforce of over 70,000 employees, with an average age of 30 years. We are an equal opportunity employer & believe in empowering our employees by offering rich roles, learning opportunities & flexibility to chart their career, their way
Key Responsibilities:
The candidate will be responsible for the following in his/her job role:
Co-own the business goals & lead problem solving, work in an agile manner with business partners, Risk-review committee members , data engineering and IT.
Lead and mentor team of data scientists and help deliver on projects in a time bound fashion.
Innovate by adapting new modeling techniques and procedures
Work in a self-directed environment, own tasks and drive them to completion
Qualifications:
Advanced degree (master's or above) in a quantitative subject such as Engineering, Mathematics, Operations Research, Statistics, Economics or Finance
Post graduation or B.Tech, M Tech in Computer Science or Engineering field Role Proficiencies:
The candidate is required to have:
Fluency in Python, SQL/SAS – hands on relevant experience
2-6+ years of experience in building models, with some years in building credit-Risk models
Prior experience in BFSI domain a plus
Should have good knowledge of advanced ML techniques (Logistic, XGboost, RF, ANNs, Ensembles) and understand the end to end deployment aspects
Knowledge of dockers/containers, micro services is a plus Solid spoken and written communication skills
Should have strong analytical thinking and be able to convince stakeholders on the same using data-based evidence
About Axis
Incorporated in 1++4, Axis Bank is one of India's most trusted banks & the third largest in the private sector. At Axis Bank, customer centricity has always been the foundation of our business. Our efforts to address the requirements of a diverse customer cross- Axis BankInternal section are powered by robust infrastructure, advanced technology, a comprehensive monitoring & control framework & a large talent pool.
The Bank has a young & engaged workforce of over 70,000 employees, with an average age of 30 years. We are an equal opportunity employer & believe in empowering our employees by offering rich roles, learning opportunities & flexibility to chart their career, their way
