Job Description:
- Responsible for building a robust set of operational and business metrics, working with cross-functional teams to design, build, deploy the reporting systems, and utilize metrics to determine improvement opportunities.
- You will be responsible building and maintaining forecasting models across the entire Operations.
- You are expected to work on analytical projects, which involves model building & strategic analysis using variety of tools like regression, Machine Learning Algorithms, Forecasting techniques
- Expected to work on project planning and execution with high level of quality. You should follow the quality framework and create error free, highly available systems.
- In this role, you are expected to work closely with your peers, operations managers / senior managers/ senior leaders to understand their requirement and translate in to actionable metrics / projects. You will provide advice and mentoring to other analysts.
Responsibilities :
Understand the Risk operations process across Buyer Risk Investigation, Merchant Risk Investigation, Claims and Chargeback
- Understand the vision, direction and culture of the team by managing individual and team performance expectation and goals, driving innovation and raising the performance across the operations team.
- Understand the requirements of Operations managers / others and map them with the data sources / data warehouse
- Guide and mentor the analysts and create next generation of world-class BIEs
- Design and develop highly available dashboards and metrics using SAS, Perl, Excel and OBIEE (Oracle Business Intelligence). Should provide wing-to-wing project lifecycle execution (project planning, execution, Risk assessment and system availability)
- Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers
- Perform business analysis and data queries using SAS. Ability to execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory,regression, forecasting, Machine Learning Techniques, etc.)
- Identify new pattern of abuse and make recommendations for new controls and improved monitoring
- Develop and oversee the initiation of strategy recommendations
- Use statistical analysis to segment customer behavior and develop targeted solutions to prevent deposit and debit card fraud.
Desired Candidate Profile :
- BE / B.Tech / MBA from a top institutes like IITs / BITS / IIM / ISB / FMS, etc..
- 8+ years experience with 4+ years into Analytics as a Senior Manager / AVP or in an equivalent role handling any kind Analytics, preferably Risk / Fraud Analytics in an MNC.
- Should be doing end-end Analytics from extraction, analysis, Recommendations.
- Should be handling a team of 8 - 15 members.
- Expert level MS Excel and SQL skills
- Excellent analytical problem solving skills
- Good writing skills to communicate with business and technical teams
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously
Preferred Qualifications :
- Superior verbal and written communication skills
- Ability to work in a fast-paced environment where continuous innovation is desired and ambiguity is the norm
- A history of teamwork and willingness to roll up ones sleeves to get the job done. Must be highly hands-on
- Experience in dealing with clients and stakeholders directly
- Proven analytical and quantitative skills, including the ability to effectively use tools such as SAS, Excel, Data Warehouse, SQL.
Interested candidates can call us at 040-40101210/11.
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