S&C Global Network – AI – Finance – Quantexa Scala – 08 Full-time

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Risk and Compliance Analytics(Quantexa)
Accenture Data and AI, part of Accenture Strategy & Consulting, helps clients to use analytics, machine learning and artificial intelligence to drive actionable insights, at scale. Accenture Data and AI applies sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomes – to improve their performance and disrupt their markets. With deep industry and technical experience, Accenture Data and AI provides services and solutions that include, but are not limited to: analytics-as-a-service through the Accenture Insights Platform, continuous intelligent security, machine learning, and IoT Analytics.

Role: Associate Manager/ Specialist / Sr Analyst
Career level: CL 8, 9,10
Experience: 2-10 Years
Location: Bangalore, Chennai, Gurgaon, Hyderabad, Pune
Entity: Accenture S&C – Data and AI

Job Summary – Roles & Responsibilities Key Responsibilities:
• Working with clients to solve business problems in the area of fraud, compliance and financial crime
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, on their sites.
• Managing, transforming and cleansing high volume data into Quantexa Entities and Networks
• Writing defensive, fault tolerant and efficient code for data processing
• Developing scoring algorithms to identify high risk activities
• Using emerging and open source technologies such as Spark, Hadoop, and Scala
• Implementing systems delivering automated data ingestion, scoring and alert generation
• Implementing deployment pipelines using modern CI/CD and deployment technologies such as Jenkins/Bamboo/Kubernetes/Openshift
• Presenting project results to clients
In order to excel in this position , Must have
• Quantexa Certification /Quantexa Experience (Mandatory)
• Proven big data experience, either from an implementation or a data science prospective,
• Excellent technical skills including expert knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java or Python,
• Strong client facing, communication and presentation skills,
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.

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