Job Description
Job description
This position/role requires interaction across multiple business partners to aide in determining key priorities and project direction for their team. Key functions involve working with the Transformation pillar teams to setup the data infrastructure, data mart designs and maps, maintain repository of centralized data definitions and methodologies, working with other partners within EFMC to understand data needs, share reporting with leadership within and outside of EFMC, and establish routines with various stakeholders for data reviews and make recommendations where gaps exist. Integrates the analysis with other corporate units to ensure alignment with business and corporate objectives.
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
Requirements:
Education : Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a reputed institute
Certifications: Technical certifications in SAS, SQL preferred
Experience: 3-6 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
- 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
- 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
Desired Skills
- Experience with machine learning and/or other advanced data mining technique such as Python/R/Java, etc.
- Experience with statistical modeling techniques including matching algorithm, time-series analysis, user profiling, clustering and classification.
Work Location : GGN
Work Timings: 11:30am to 8:30pm
Job Classification
Industry: Banking, Financial Services, Broking
Functional Area: ITES, BPO, KPO, LPO, Customer Service, Operations,
Role Category: Voice
Role: Voice
Employement Type: Full time
Education
Under Graduation: B.A in Other Specialization
Post Graduation: Post Graduation Not Required
Doctorate: Doctorate Not Required
Contact Details:
Company: BA Continuum India
Location(s): Noida, Gurugram
Keyskills:
Business services
SAS SQL
Data analysis
Data management
Risk assessment
Asset management
Risk management
Data mining
Variance analysis
Financial services