Data Analyst

• We are seeking a highly skilled and motivated individual to join our team as a Financial Services Analytics Specialist. This role involves utilizing advanced analytics techniques to extract insights from financial data, driving informed decision-making and strategic initiatives within the organization.
• The ideal candidate will have a strong background in finance, statistics, and data analytics, with a proven track record of delivering actionable insights in the financial services industry.
• Analyze large datasets from various financial sources to identify trends, patterns, and anomalies.
• Develop predictive models to forecast customer behavior or risk exposure.
• Collaborate with cross-functional teams, including finance, risk management and operations, to understand business objectives and develop analytical solutions.
• Conduct ad-hoc analysis to support decision-making processes, such as pricing strategies and product development.
• Please present the findings and recommendations to senior management and stakeholders clearly and concisely.

Qualifications: Bachelors/Masters degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field with a minimum of 65% in all academics.

Experience and skills:

• 2+ years of experience in financial services analytics, preferably in banking, insurance, or investment management.
• Proficiency in SQL and Python/Scala/Java for large-scale data processing and analysis.
• Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.
• Strong quantitative and problem-solving skills with the ability to translate complex data into actionable insights and the ability to convey technical concepts to non-technical audiences effectively.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Professional certifications such as CFA, FRM, or CPA are a plus.