Compliance - Quant Analytics Manager - Vice President

SupportFinity™; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

SupportFinity™ is looking for a Compliance - Quant Analytics Manager - Vice President based in New York. This role involves analyzing complex data to understand business dynamics and developing scalable analytical models within the Risk Management framework.

The ideal candidate should have over 6 years of experience with Python, R, or Scala, and a solid background in analytical software development. You will work collaboratively with various teams to prepare documentation and solutions that comply with our high standards in governance and risk management.

Join us to help maintain the resilience of our business and challenge the status quo in our data-driven approach.

Qualifications

• 6+ years of experience in Python, R or Scala.
• Experience with machine learning and statistical models.
• Hands-on experience in software development and data pipelines.

Responsibilities

• Analyze complex data to solve business problems.
• Develop scalable and effective analytical models.
• Collaborate with various teams on data science projects.

Skills

Python

Machine Learning

Graph Analytics

Cloud Technologies

Data Analysis

Education

Bachelor of Science in Computer Science or related fields

Tools

Pandas

Scikit-Learn

Neo4j

AWS

Job description

Compliance - Quant Analytics Manager - Vice President

JPMorganChase | Posted Mar 13 | Full-time | New York | Advanced (5-10 yrs)

Job Description

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best‑in‑class.

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

• 6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other 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, GCP, Azure, Databricks etc.)
• Experience in developing and operationalization of data pipelines
• Familiarity and experience of assimilating large amounts of data from multiple databases and utilizing 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 process, controls and governance of a highly regulated environment