Associate Analyst at People Prime Worldwide
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Analytics Role - Statistical Modeling/Predictive Modeling - Financial Services (5-10 yrs)
Job Profile:
Experience - 5-8Years
Location - Gurgaon
Education - B.Tech / MBA (Tier 1/Tier 2 colleges)
Skill set - Statistical Modelling, Predictive Analytics, Capacitive Planning, SAS & SQL(Must)
Roles and Responsibilities:
- Develop and maintain centralized reporting in collaboration with EFMC and line of business partners
- Develop Enterprise executive dashboards and reporting
- Support data management and setup of Enterprise wide data marts and table views
- Conduct analytics to identify business opportunities and recommendations
- Presenting reporting results at various forums internal and external to EFMC
- Work with cross functional project teams to bring the teams to consensus on definitions and metrics
- Support setup of infrastructure for centralized repositories and data definitions
- Conduct variance analysis and reporting
- Gather data from various sources and areas
- Review data for completeness and accuracy
Required Skills:
- Excel and other applications to support large data aggregation and management
- Advanced data analytics in a big data environment within a risk & fraud function is ideal
- Experience in reporting and automation tools
- Data and reporting experience and attention to detail
- Experience with statistical modeling techniques including matching algorithm, time-series analysis, user profiling, clustering and classification.
- Ability to create trend reports and discuss anomalies with cross functional teams
- Ability to present the data and communication skills
- Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy)
- Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
- Effective multi-tasker, able to manage multiple files
Preferred Skills:
- Experience with machine learning and/or other advanced data mining technique such as Python/R/Java, etc.
- Tableau and MicroStrategy experience a plus
- Knowledge of ORCIT and Ops Risk Loss Reporting is a plus
- Ability to work with cross functional teams
- Experience with financial institutions in the area of fraud analytics and risk management
- Exceptional written and verbal communication skills, a team player with open mind.
- Experience with digital banking, payments and/or payment networks.
- Experience with FinTech solution vendors and/or consulting projects implementation.
- Strong intellectual curiosity and passionate about innovation.
Education:
- Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a reputed institute
- Technical certifications in SAS, SQL preferred
Experience:
- 5- 8 years using SAS/SQL or other Machine learning tools like R/Python for data analytics
- U.S financial services experience preferable
- Understanding of business domains like Fraud/Compliance/Risk preferable
Note: Candidates who are interested can apply/ Contact : Pavani - +91-40 47842295
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