Data Scientist

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