Data Management Lead - Randstad USA

job summary:

Role Overview:

• Develops analytical and technical tools and delivers quantitative solutions for process enhancement and risk management
  
  
• Contributes to a large project or multiple projects that are significant in scope and impact
  
  
• Works as part of a broader team on delivery of projects spanning multiple quantitative domains

• Interacts extensively with internal or external contacts to identify, research, analyze and resolve complex problems
  
  
• Will leverage quantitative and programming skills to build deep knowledge of the banks pricing & risk libraries and infrastructure. Use this knowledge to serve as a trusted partners to clients

Key Responsibilities:

The candidate is expected to work closely with the business analysts, business partners and other technology partners to gather requirements as part of process discovery

• Successfully use advanced predictive models and analytics to derive insights from data to implement business strategy and automation
  
  
• Conduct research to study latest developments in the field of Machine learning, Deep Learning and Natural Language Processing to solve real-world problems
  
  
• Assess accuracy and sanity of data sources and implement efficient pre-processing processes
  
  
• Author detailed model documentation for Regulatory audit and Model validation
  
  
• Develop A/B testing framework to test Model quality and implement processes that monitor model performance in Production

Requirements:

• Master's degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Economics or related Quantitative field
  
  
• 5+ years relevant industry experience and minimum of 2 years programming experience in Python or R
  
  
• Knowledge and Experience in Statistics and Data Mining Techniques -Classification, Clustering, Regression, Parameter Tuning, Dimensionality Reduction, Time Series Analysis, Drift Detection methods
  
  
• Knowledge of models like Decision Trees, Random Forest Trees, SVM, Neural Networks and methods used in Hyper Parameter Tuning, Feature Selection, Ensembling, Bagging and Boosting
  
  
• Data Visualization/presenting data using Excel, Tableau, Plotly, Matplotlib, Seaborn, Bokeh and ggplots
  
  
• technical background with proven experience working in an Agile software development lifecycle
  
  
• Basic knowledge of Source Control tools like BitBucket, Git and Collaboration tools like Sharepoint, Slack
  
  
• Excellent written and verbal communication skills for coordinating with stakeholders
  
  
• Self-starter and ability to multi-task with tight deadlines and navigate changing priorities in a fast paced environment

 
location: Charlotte, North Carolina
job type: Contract
salary: $50 - 60 per hour
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:

• Lead the governance and oversight program driving adherence to Enterprise data requirements and ensuring certain risks are mitigated through the execution of controls, processes and routines
  
  
• Leads routines with stakeholders and various leaders reporting on program health and drive accountability with stakeholders
  
  
• Operates with a risk and operational excellence mindset to ensure program is focused on controlling risk and operating with efficiency for all stakeholders
  
  
• Identifies and contributes recommendations to strengthen program.
  
  
• Support the build and execution of program's control framework as it is being improved
  
  
• Design and execute QA efforts to identify weakness in controls and adherence
  
  
• Gather and assess FLU adherence evidence
  
  
• Gather various inputs to evaluate/challenge process health ratings
  
  
• Liaison and support testing performed by Enterprise Data Strategy and Governance teams
  
  
• Support the development of response to inquiries from GO stakeholders
  
  
• Create training procedures to implement new or revised adherence requirements
  
  
• Create and maintain governance procedures and process maps
  
  
• Provide recommendations to