Compliance - Quant Analytics Manager - Vice President

Posted 5 Days Ago
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New York, NY
Hybrid
5-7 Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Compliance - Quant Analytics Manager will lead the development of AI/ML models and analytical methods to tackle complex data challenges within Risk Management and Compliance. Responsibilities include analyzing unstructured data, developing deployable models, collaborating with teams, and preparing technical documentation for model governance.
Summary Generated by Built In

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.
As a Data Scientist in the Compliance, Conduct Operational Risk Data Analytics team. you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/ML techniques, algorithms and other statistical and numerical methods. You will need to able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.
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 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, 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 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 process, controls and governance of a highly regulated environment


About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Our Compliance teams work globally across all lines of business to advise internal stakeholders on the impact of regulatory requirements and how to balance these with the firm's needs. Their diverse mandate means they also provide input on new business strategies, product lines, policies, training, operational processes, risk mitigation and control.

Top Skills

Python
R
Scala

What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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