Data science Architect

KEY RESPONSIBILITIES:

Job responsibilities:

should have is quantitative analytics experience with some fundamental statistical knowledge
Apply statistical and mathematical techniques and provide decision support for business
Gather, manipulate and synthesize data, models to draw conclusions and make recommendations
Leverage business/ analytical knowledge to participate in discussions with cross functional teams
Document assumptions, methodology, validation and testing
Present results and recommendations to wider audiences
Use visualization techniques to support your argument
Support identifying and gathering the relevant and quality data sources required through testing or exploratory data analysis (EDA).
Utilize data & analytics to provide superior actionable business insights and recommendations
Preferred Skills & Qualifications:

Degree in Economics, Mathematics. Finance, Statistics, or any other quantitative discipline with 8 years of experience in Quantitative analytics field
Strong Expertise and Experience in SQL, SAS, and Tableau.
Demonstrate competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Working knowledge of identifying, documenting and analyzing business and/or data requirements
Knowledge of industry best practices
Experience in developing reports and Dashboards
Expertise in deriving insights from various analysis and present outcomes to different set of stakeholders.
Working experience in financial domain in preferred