AI/ML Lead

TechDigital Group; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

TechDigital Group is seeking a senior AI/ML leader in Jersey City, NJ to build predictive models, drive data quality, and lead enterprise transformations across capital markets. You will articulate architecture intricacies and guide large-scale initiatives leveraging open-source AI/ML platforms.

The role requires deep domain experience in Front Office, Middle Office, Operations, Risk and Finance, plus demonstrated leadership and hands-on data analytics with large datasets.

Qualifications

• Experience building predictive models and ML algorithms.
• Expertise in data quality, data reconciliation, and large-data processing.
• Experience leading large-scale Enterprise Transformation initiatives.
• Ability to articulate complexities of Technology Architecture.
• Capital Markets experience across Front Office, Middle Office, Operations, Risk & Finance.
• Demonstrated leadership, management, and development skills.
• Experience with predictive analytics on large and complex datasets.
• Enthusiastic about AI and ML optimizations and open-source technologies.

Skills

AI/ML Development

Data quality & reconciliation

Enterprise Transformation leadership

Technology Architecture

Capital Markets experience

Leadership & management

Predictive analytics on large data

AI/ML optimization & open-source

Tools

R

Python

SQL

Redshift

S3

Spark

Map/Reduce

Hadoop

Hive

Tableau

QlikView

MySQL

Job description

• AI/ML Development, Build predictive models and machine-learning algorithms.
• Expertise with data reconciliations, data quality, large data processing and controls
• Expertise leading large scale Enterprise Transformation initiatives with a clear track record of success.
• Ability to articulate intricacies of Technology Architecture
• Deep functional and technical experience in Capital Markets across Front Office, Middle Office, Operations, Risk & Finance.
• Demonstrated leadership, management, and development skills.
• Experience with predictive analytics using large and complex datasets.
• Enthusiastic about AI and ML optimizations and open-source technologies.
• Familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining etc.
  • Experience querying databases and using statistical computer languages: R, Python, SQL.
  • Experience using web services: Redshift, S3, Spark
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL /
  • Experience with BI tools: Tableau, QlikView.