Invite Candidates for Data Domain Architect Sr Associate - Modelling DDO

Job Description

The Analytics Solutions Sr Associate Pricing Optimization Data will be an integral part of a global team that delivers on all data-related needs in support of Finance s Price Optimization Modeling book of work. The Finance department has shown that machine learning techniques can help set the most ideal product price points to maximize revenue while minimizing customer churn. It now seeks to roll out these advanced analytics capabilities across all products offered by Consumer and Community Banking. This effort will require massive amounts of data to be identified, harvested, curated, and provided to the data science teams to construct new machine learning models.Key responsibilities for this Associate-level position include:Collaborate with model developers to identify data requirements, ensure source data availability in the appropriate data environment and construct model ready datasets Assist with the unification and organization of pricing data in a fashion that allows successful usage through multiple phases of model development Design curated data sets required for cross product and customer centric price optimization managing across D&A, Risk, Finance environments Work with resources from other teams to bring marketing, customer journey, and risk data together with finance data to be used in Pricing models and dashboards. Assist with the cloud data migration for the Pricing product Other responsibilities of the team will include::Participate in ongoing product backlog refinement planning with technology partners to drive progress of modeling data needs spanning the full modeling lifecycle Manage data across multiple platforms and deployment paths, differentiate between legacy and target state platforms, manage and track tech debt Develop data subject matter expertise across a broad range of cross domain data Adhere to data use and controls requirements Communicate task status and issues to management Support legacy model execution while target state solutions are developed Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and adhere to firm-wide principles, standards, and controls Collaborate with data modelers to construct conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects Profile, wrangle, and prepare data from diverse sources to support modeling efforts in languages such as Python, SAS, Spark, or Scala Conduct business process analysis and identify data needed to support the processes and determine whether the firm s data is fit for use within a given process Assist in hands-on R&D / POC activities for emerging technologies Qualifications1) 8+ Years of experience performing various roles in Strategic Planning, Software development and Solution Architecting. 2) 2+ years of experience in Cloud platform (AWS) . 3) 5+ Years of development experience with Big Data Hadoop cluster(HDFS, MapReduce frameworks), Hive Oozie and Spark. 4) 5+ Years of programming experience in Python, SAS with strong database architecture knowledge 5) Hands on experience on AWS cloud services (VPC, EC2, S3, RDS, Redshift, DMS, EMR, Data Pipeline, CloudFormation, Lambda, RDS, SNS, SQS and more). 6) BS or higher in Computer Sciences or related field 7) Experience in Python, Pyspark and other cloud related technologies 8) Being meticulous about tracking things and follow-through. 9) Knowledge of complex data pipelines and data transformation 10) Ability to understand big data use-cases and recommend standard design patterns commonly used in Hadoop-based deployments,

Keyskills :
subject matter expertisebusiness process analysisbig datadata flowdata sciencedata qualitymusic makingflow diagrams