Quant Analytics Manager Vice President at Indus Group Inc

Drive innovative AI/ML solutions across the firm through modern architecture & engineering practices.

Job Responsibilities

• Analyze complex/unstructured data to understand the business problem and use case
• Analyze business requirements, design, and develop appropriate methodology
• Develop deployable, scalable and effective models/ analytical methods as part of technology managed system or as a self-served application of a business user
• Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
• Prepare technical documentation of quantitative models for internal model risk and governance review

Required qualifications, capabilities, and skills

• Experience in financial services industry especially in Anti-Money Laundering & Know Your Customer model development.
• 6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.
• Demonstrable theoretical and application knowledge of Machine Learning methods, and/or Statistical Models
• Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages : (NetworkX, Torch-Geometric, Graphframes, Graphistry),ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)
• Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization
• Experience in graph Database: TigerGraph, Neo4j
• Experience in Query Language: Hive, Cypher (Graph Query Language)
• Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, Google Cloud Platform, Azure, Databricks etc.)
• Experience in developing and operationalization of data pipelines
• Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and Documenting quantitative analysis

Preferred qualifications, capabilities, and skills

• Post graduate degrees such as Master s Degree, PhD, etc. is preferred
• Working knowledge of C/C#/C++ or others is a plus
• Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.
• Familiarity with Natural Language Processing techniques is a plus
• Self-starter and strong influencing skills with strong communication skills

Experience in financial services industry and/ or, experience with processes, controls and governance of a highly regulated environment