Bangalore, Karnataka, India
Information Technology
Full-Time
talentov
Overview
Responsibilities
Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems
Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
Manage a team of business intelligence experts
Work closely together with the technology teams in implementing new techniques into the Bank environments
Develop predictive models for risk assessment, fraud detection, customer behavior analysis or forecasting
Create and maintain detailed documentation of methodologies, models, and processes
Design and build scalable data pipelines and ETL workflows
Present findings and recommendations to senior management and stakeholders
Monitor model performance and implement improvements as needed
Ensure compliance with banking regulations and data governance policies
Qualifications
Education:
Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field
Professional certifications in relevant technologies or methodologies are a plus
Experience
10+ years of experience in data science, with at least 4 years in the banking/financial services sector
Proven track record of successfully implemented machine learning models in production
Minimum 3 years of experience managing and leading data science teams
Demonstrated experience in building and developing high-performing teams
Technical Skills
Advanced knowledge of machine learning algorithms and statistical modeling
Strong expertise in Python, R, or similar programming languages
Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks)
Experience with deep learning frameworks
Knowledge of cloud platforms (AWS, Azure, or GCP)
Expertise in data visualization tools (Tableau, Power BI, Qlik)
Strong understanding of version control systems (Git)
Experience with MLOps and model deployments
Business Skills
Proven people management and leadership abilities
Experience in resource planning and team capacity management
Excellent problem-solving and analytical thinking abilities
Strong communication and presentation skills
Ability to translate complex technical concepts to non-technical stakeholders
Experience in agile development methodologies
Understanding of banking and financial services domain
Domain Knowledge
Understanding of risk management, compliance, products and regulatory requirements in banking
Knowledge of financial markets and instruments is a plus
This job is provided by Shine.com
Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems
Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
Manage a team of business intelligence experts
Work closely together with the technology teams in implementing new techniques into the Bank environments
Develop predictive models for risk assessment, fraud detection, customer behavior analysis or forecasting
Create and maintain detailed documentation of methodologies, models, and processes
Design and build scalable data pipelines and ETL workflows
Present findings and recommendations to senior management and stakeholders
Monitor model performance and implement improvements as needed
Ensure compliance with banking regulations and data governance policies
Qualifications
Education:
Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field
Professional certifications in relevant technologies or methodologies are a plus
Experience
10+ years of experience in data science, with at least 4 years in the banking/financial services sector
Proven track record of successfully implemented machine learning models in production
Minimum 3 years of experience managing and leading data science teams
Demonstrated experience in building and developing high-performing teams
Technical Skills
Advanced knowledge of machine learning algorithms and statistical modeling
Strong expertise in Python, R, or similar programming languages
Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks)
Experience with deep learning frameworks
Knowledge of cloud platforms (AWS, Azure, or GCP)
Expertise in data visualization tools (Tableau, Power BI, Qlik)
Strong understanding of version control systems (Git)
Experience with MLOps and model deployments
Business Skills
Proven people management and leadership abilities
Experience in resource planning and team capacity management
Excellent problem-solving and analytical thinking abilities
Strong communication and presentation skills
Ability to translate complex technical concepts to non-technical stakeholders
Experience in agile development methodologies
Understanding of banking and financial services domain
Domain Knowledge
Understanding of risk management, compliance, products and regulatory requirements in banking
Knowledge of financial markets and instruments is a plus
This job is provided by Shine.com
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