Implementation Analyst

Overview

Business Analytics Analyst role applying specialty area knowledge to monitor, assess, analyze and evaluate processes and data, identify policy gaps, and formulate recommendations, with focus on fraud orchestration engines and fraud rule implementation.

What you'll do

• Monitor, assess, analyze and/or evaluate processes and data; identify policy gaps and formulate policies.
• Interpret data, identify inconsistencies in data or results, define business issues and formulate recommendations on policies, procedures or practices.
• Ensure seamless implementation of fraud rules and traditional and machine learning models (adds, deletes, edits), ensuring all procedures and audit requirements are followed.
• Understand the logic (often in SQL) being adjusted and why the change is being made; ensure 100% execution accuracy.
• Develop rules/fraud strategies on the fraud tool (SAS FM/Actimize) and promote them to Prod and Prod test environments.
• Collaborate with fraud strategy development teammates to provide feedback and validate rule performance, trends and volumes.
• Gather operational data from cross-functional stakeholders to examine past business performance; identify data patterns and trends and provide insights to enhance business decision making.
• Recommend actions for future developments, strategic business opportunities and enhancements to operational policies.
• May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies; communicate findings clearly to business partners and senior leaders.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools and capabilities.
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies.
• Appropriately assess risk in business decisions, driving compliance with applicable laws, rules and regulations and Policy, and escalating and reporting control issues with transparency.

What you'll need

• 2-5 years relevant experience in SAS, SQL, Python.
• Some understanding of the Fraud domain.
• Knowledge of system and user functionalities of fraud orchestration engines such as Actimize (RCM/Actone) and SAS Fraud Manager.
• Good communication skills (verbal and written) and ability to work with cross-functional partners and team members.
• Bachelor's/University degree or equivalent experience.

Nice to have

• Business knowledge of financial crime risk management and digital fraud.
• Hands-on working knowledge of SAS/SQL/Python and knowledge of the Fraud domain and Cards & Payment.

Details

• Location: Pune, Maharashtra, India.
• Employment type: Full time.