Senior Business Analytics Analyst

Jobtailor; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Jobtailor in Mumbai, India seeks an experienced analytics professional to lead SAS-based risk analytics and fraud detection initiatives. You will analyze data, develop segmentation strategies, and assess credit and acquisition outcomes to inform business decisions.

Responsibilities include collaborating with stakeholders, presenting insights to senior leaders, and guiding cross-functional teams in policy enhancements. A strong background in risk, analytics, and financial services is essential.

Qualifications

• 7+ years of SAS, risk analytics, fraud, and P&L analysis.
• Excellent analytical and business strategy skills.
• Effective communication and stakeholder management.
• Experience presenting to leaders for approvals.
• Engineering/Statistics/Economics/MBA background.

Responsibilities

• Gather operational data from cross-functional stakeholders for performance insights.
• Identify patterns and provide insights for planning and process improvement.
• Recommend actions for strategic opportunities and policy enhancements.
• Translate data into behavioral insights for targeting and segmentation.
• Communicate findings to senior leaders and drive decision-making.
• Collaborate with governance teams and model implementation groups.
• Lead junior team members and support their development.
• Use SAS in UNIX for risk and financial analyses.

Skills

SAS

Risk Analytics

Fraud Detection

P&L Analysis

Segmentation

Education

Bachelor's degree in Engineering/Statistics/Economics/MBA

Tools

UNIX

Data Visualization Tools

Business Intelligence Tools

Presentation Software

Statistical Software

Job description

• Gather operational data from cross-functional stakeholders to examine past business performance
• Identify data patterns and trends and provide insights for business planning, process improvement, and solution assessment
• Recommend actions for future developments, strategic business opportunities, and operational policy enhancements
• Conduct 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
• Explore and evaluate new data sources, tools, and capabilities to improve processes and strategies
• Build, implement, track, and improve decision strategies with internal and external business partners
• Assess risk in business decisions and drive compliance with applicable laws, rules, regulations, and policies
• Develop risk segmentation and credit abuse/first-party fraud risk discrimination strategies for acquisition and existing customer management
• Perform swap set analysis and P&L optimization using models
• Analyze loss and financial performance using statistical scoring, segmentation, regression, and simulation techniques
• Create storyboards, presentations, and project plans for senior management discussions
• Participate in audit reviews and regulatory reporting
• Collaborate with business stakeholders, MRM and governance teams, and model implementation teams
• Lead projects for junior team members and support their professional development
• Develop, test, optimize, and assist with implementation of abuse strategies and related initiatives
• Use SAS in a UNIX environment for risk, financial, and data analyses, including profiling, sampling, reconciliation, and quality testing

Requirements

• 7+ years of experience in SAS, Risk Analytics, Fraud, Credit Abuse, P&L Analysis, Segmentation, CHAID, Credit Cards, Risk Appetite, Acquisition, and Underwriting
• Excellent analytical and business strategy skills
• Effective communication skills
• Ability to present to business partners and/or leaders to gain approvals
• Project and process management skills
• Excellent written and verbal communications skills
• Experience with a prior focus in financial services analytics
• Solid organizational skills and ability to manage multiple projects at one time
• Self-starter with demonstrated ability to work successfully in a team environment and drive
• Bachelor's/University degree in Engineering, Statistics, Economics, or MBA
• Work timings: 1 PM - 10 PM IST

Core Competencies

Demonstrates expertise in SAS for risk analytics and fraud detection, with a strong focus on data analysis, segmentation strategies, and compliance within financial services. Proven ability to communicate insights effectively and lead projects while managing multiple priorities.

Highest-signal resume keywords

• SAS
• Risk Analytics
• Fraud Detection
• P&L Analysis
• Segmentation

Hard Skills

• Data Analysis
• Statistical Scoring
• Regression Techniques
• Simulation Techniques
• CHAID
• Credit Abuse Strategies
• Risk Segmentation
• Exploratory Data AnalysisConfirmatory Data Analysis
• Qualitative Analysis

Soft Skills

• Effective Communication
• Project Management
• Organizational Skills
• Team Collaboration
• Analytical Skills

Industry Keywords

• Financial Services
• Compliance
• Credit Cards
• Risk Appetite
• Acquisition
• Underwriting
• Business Strategy
• Operational Policy
• Audit Reviews
• Regulatory Reporting

Tools & Technologies

• UNIX
• Data Visualization Tools
• Business Intelligence Tools
• Presentation Software
• Statistical Software