Senior Consultant

Analytics Senior Consultant

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Please visit www.exlservice.comfor more information about EXL Analytics.

Role and Responsibilities:

• Serve as primary contact for the client and ensures client needs are well understood, defined and met
• Liaise with different client stakeholders to understand requirements, prioritize requests & work with the off-shore project team to ensure timely deliverables
• Lead a project team of 3-6 consultants or more in all aspects of project planning & execution, which includes definition of objectives, oversight of execution and evaluation of performance
• Owns the execution of the project ensuring all project goals are met
• Design, build and deploy advance analytics models aimed to improve fraud risk strategies of clients using Hadoop technology stacks and programming languages such as Hive, PySpark, Python, Spark & shell
• Design, build and deploy an anomaly detection tool to identify suspicious transaction behavior of accounts
• Develop a monitoring & alert mechanism for the anomalies using shell scripts
• Design, build and deploy self-serve reporting tool across business functions and clients
• Design complex algorithm and apply machine learning and statistical methods on large datasets for reporting, predictive and prescriptive modeling
• Develop and implement coding best practices using Hadoop/Hive, Python, and PySpark
• Collaborate with offshore and onshore team and effectively communicate status, issues, and risks daily
• Review and propose new standards for naming, describing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data products within the enterprise
• Analyze existing and future data requirements, including data volumes, data growth, data types, latency requirements, data quality, the volatility of source systems, and analytic workload requirements
• Design, build and deploy advance analytics models aimed to improve fraud risk strategies of clients using Hadoop technology stacks and programming languages such as Hive, PySpark, Python, Spark & shell
• Design, build and deploy an anomaly detection tool to identify suspicious transaction behavior of accounts
• Develop a monitoring & alert mechanism for the anomalies using shell scripts
• Design, build and deploy self-serve reporting tool across business functions and clients
• Design complex algorithm and apply machine learning and statistical methods on large datasets for reporting, predictive and prescriptive modeling
• Develop and implement coding best practices using Hadoop/Hive, Python, and PySpark
• Collaborate with offshore and onshore team and effectively communicate status, issues, and risks daily
• Review and propose new standards for naming, describing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering all data products within the enterprise
• Analyze existing and future data requirements, including data volumes, data growth, data types, latency requirements, data quality, the volatility of source systems, and analytic workload requirements
• Provide thought leadership through driving initiatives which will align with the client goals, drive incremental value to the client, thus elevating the client engagement
• Collaborate with offshore and onshore team and effectively communicate status, issues, and risks daily

Candidate Profile:

• Required – Hadoop/Hive, Python, Spark
• 2+ years hands-on experience working with Big Data Platforms such as Cloudera, Hortonworks, or MapR
• Python & ML modeling experience is a plus
• Experience with using the Agile approach to deliver solutions
• Experience with handling large and complex data in Big Data Environment
• Experience with designing and developing complex data products and transformation routines
• Experience of working in financial services and risk analytics domain, a plus
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
• Outstanding written and verbal communication skills
• Required – Hadoop/Hive, Python, Spark, Tableau
• Hands-on experience working on SQL/Hive, Tableau
• Python & ML modeling experience is mandatory
• Prior Experience with client management, stakeholder management & team handling
• Experience with using the Agile approach to manage projects
• Experience with handling large and complex data in Big Data Environment
• Experience of working in financial services domain is a plus
• Strong record of achievement, solid analytical ability & problem solving skills, and an entrepreneurial hands-on approach to work
• Outstanding written and verbal communication skills

What we offer:

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.

• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
• Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.

• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.