EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 55,000 employees spanning six continents.
Position: Analytics Senior Consultant
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.
Responsibilities:
* Serve as primary contact for the client and ensure 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.
* Own the execution of the project ensuring all project goals are met.
* Design, build and deploy advanced 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 algorithms 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 teams and effectively communicate status, issues, and risks daily.
* Review and propose new standards for data management within the enterprise.
* Analyze existing and future data requirements, including data volumes, growth, types, latency, quality, and workload requirements.
* Provide thought leadership through driving initiatives which align with client goals and drive incremental value.
Candidate Profile:
* Required skills: 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 mandatory.
* Experience with using the Agile approach to deliver solutions.
* Experience with handling large and complex data in a Big Data Environment.
* Experience of working in financial services and risk analytics domain is a plus.
* Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work.
* Outstanding written and verbal communication skills.
What we offer:
* An exciting, fast-paced and innovative environment.
* Opportunities to learn many aspects of businesses that our clients engage in.
* Investment in training in analytics and leading analytical tools and techniques.
* Guidance and coaching through our mentoring program.
* Unique experiences that set the stage for further growth and development.
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