KYC - Data Analytics Job in Bengaluru at Deutsche Bank

Deutsche Bank is hiring for the role of KYC - Data Analytics!

Responsibilities of the Candidate:

• Data Analysis: Conduct thorough data analysis of large and complex datasets, utilizing statistical methods and mathematical techniques to identify trends, patterns, correlations, and anomalies.
• Statistical Expertise: Apply advanced statistical techniques to develop and extract meaningful insights, perform hypothesis testing, and make data-driven recommendations.
• Data Visualization: Create clear and informative data visualizations and dashboards to convey insights to non-technical stakeholders.
• Data Cleaning and Preparation: Ensure data quality and integrity by cleaning and preprocessing datasets for analysis.
• Model Development: Design, develop, and implement predictive models and machine learning algorithms to solve business problems and improve decision-making.
• Reporting: Generate regular and ad-hoc reports that provide key insights and recommendations to stakeholders.
• Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, data engineers, and stakeholders, to understand data requirements and deliver meaningful results.
• Continuous Improvement: Stay updated with the latest developments in data analysis techniques and tools to enhance analysis capabilities.

Requirements:

• Forward-thinker, detail-orientated, analytically minded individual with a strong background in Statistics and Mathematics
• Passionate about extracting and uncovering valuable insights from data and providing valuable recommendations and/or turning them into actionable solutions
• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Analytics, or a related discipline
• Proven experience as a Data Analyst, with a focus on statistical analysis
• Strong proficiency in statistical analysis tools and programming languages (e.g., Python, R)
• Exceptional analytical and problem-solving skills
• Ability to interpret data and communicate findings effectively to both technical and non-technical audiences
• Detail-oriented with a strong commitment to data accuracy
• Self-motivated and able to work both independently and collaboratively