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Wholesale Credit Risk Management - Senior Data Engineer - Executive Director

JPMorgan Chase

London

On-site

GBP 80,000 - 120,000

Full time

Yesterday
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Job summary

A leading financial services company in London seeks a Senior Data Engineer to develop advanced data architectures and strategies for Wholesale Credit Risk. The role requires expertise in distributed systems and big-data technologies, along with strong programming skills. Candidates should possess extensive experience in data engineering within banking and a proven ability to lead cross-functional teams. This position offers a dynamic environment focused on innovation and compliance.

Qualifications

  • Extensive experience in data engineering or analytics in banking.
  • Hands-on experience with data-lake architectures.
  • Proven ability to lead complex data initiatives.

Responsibilities

  • Design and implement data architectures for credit risk data.
  • Ensure systems meet regulatory requirements.
  • Partner with senior leaders to leverage data for decision-making.

Skills

Data engineering expertise
Distributed computing technologies
Cloud platforms proficiency
Programming in Python, Java, SQL
Stakeholder engagement
Cross-functional team leadership

Tools

Apache Spark
Databricks
Hadoop
Kafka
Snowflake
Kubernetes

Job description

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase 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 Senior Data Engineer - Executive Director on the Core Platform team within Wholesale Credit Risk QR (Quantitative Research), you will spearhead the development and execution of advanced data architectures and strategies supporting the Wholesale Credit Risk domain, create systemic solutions to address data governance mandates and standardize data onboarding pipelines. You must possess technical expertise in distributed systems, big-data technologies and cloud-enabled solutions.

Job Responsibilities

Strategic Data Architecture Development

  • Design and implement on-premise and cloud-enabled data architectures for the ingestion, processing and storage of credit risk data
  • Oversee the integration of structured and unstructured data sources, enabling predictive modeling and scenario analysis.
  • Develop and enforce best practices for data lakehouse designs and distributed compute platforms like Apache Spark and Databricks


Governance and Compliance

  • Ensure data systems meet regulatory requirements such as Basel III, IFRS9 and CCAR, while maintaining high standards of security and governance
  • Establish robust data governance frameworks, focusing on quality, consistency and operational excellence
  • Establish tooling to ensure full data lineage visibility and reporting


Leadership and Stakeholder Engagement

  • Partner with senior risk and business leaders to identify opportunities for leveraging data to inform decision-making
  • Mentor and upskill teams in advanced data technologies, fostering a culture of innovation and continuous learning


Required qualifications, capabilities and skills

  • Extensive experience in data engineering, architecture or analytics roles with a strong focus on banking and financial services
  • Proficiency in distributed computing technologies (eg Apache Spark, Databricks), cloud platforms (AWS, Azure, GCP) and data-lake architectures
  • Hands-on experience with tools like Hadoop, Delta Lake, Kubernetes, Snowflake and Kafka
  • Strong programming skills in Python, Java and SQL with expertise in data pipeline development and ETL processes
  • Proven ability to lead cross-functional teams and manage complex data initiatives
  • Strong communication skills with the ability to bridge technical and business audiences
  • Experience in stakeholder engagement, aligning technical strategies with organizational objectives


Preferred qualifications and experience

  • Knowledge of risk methodologies, Wholesale Credit, CCAR, Allowance (CECL/IFRS9), Basel II/III regulatory capital


About us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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