Back
Tier-1 brand, metro location, mid-level generalist role, and broad skill requirements increase applicant competition.
Core data science skills are transferable across industries, though finance domain knowledge adds some bias.
Explicit 2-5 year requirement plus mandatory quantitative skills and data tooling makes shortlisting moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Work independently with large, complex internal and external data sets to evaluate and support business strategies.
Perform data retrieval, processing, cleaning, and exploratory analysis using tools like SQL and statistical models to predict and measure business outcomes.
Document data requirements and apply analytical thinking with impact on business decision-making and related team effectiveness.
2-5 years of relevant experience in a quantitative field with data retrieval and manipulation skills.
Bachelor's or equivalent university degree.
Proficiency in data analysis tools such as SQL and experience with statistical modeling and data visualization.
Work Experience Required: 2-5 years as explicitly mentioned.
Experience in specialized analytics areas such as marketing, risk, digital, or AML fields is a plus.
Ability to assess risk and ensure compliance with laws, policies, and ethical standards in business decisions.
Skilled at building partnerships across cross-functional leaders and comfortable working in a matrix environment.