PWC

Credit Tech senior Manager

PWC$110K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in credit risk technology programs
  • Hands-on skills with FICO, Moodys, Databricks, or similar platforms
  • Proficient in Python, R, SQL, and related data engineering tools
  • Expertise in credit risk methodologies and model implementation
  • Experience in building resilient data pipelines
  • Strong leadership and stakeholder engagement abilities
  • Commitment to ongoing professional development

Responsibilities

  • Lead client engagements on credit risk technology and model modernization
  • Advise on comprehensive credit risk model lifecycles
  • Design production-grade data architectures for risk calculations
  • Ensure data quality and integrity as per regulatory standards
  • Oversee data pipelines and model operationalization on various platforms
  • Consult on technology selection based on client needs
  • Address operational challenges in data and model management
  • Implement strong model governance and regulatory controls
  • Translate complex technology terms for non-technical stakeholders
  • Identify and craft innovative solutions for credit risk challenges

Benefits

  • Work with leading-edge technologies in credit risk
  • Opportunity to act as a thought leader in the industry
  • Gain exposure to a variety of credit risk platforms and methodologies
  • Work with diverse clients across the financial landscape
  • Participate in continuous learning and professional growth opportunities
Full Job Description
Line of Service
Assurance

Industry/Sector
Not Applicable

Specialism
Actuarial Services

Management Level
Senior Manager

Job Description & Summary
As a Credit Risk Technology Senior Manager, unlock your potential and embrace the chance to drive meaningful outcomes that'll elevate your career. Your role will include, but isn't limited to:
  • Lead client engagements focused on credit risk technology and credit risk model modernization, spanning model development, validation, deployment, and monitoring, from requirements through go live
  • Advise on the full credit risk model lifecycle, including PD, LGD, EAD, provisioning and ECL, stress testing, and scoring and decisioning models
  • Design and implement scalable, production grade data and modeling architectures that support credit risk model calculation, reconciliation, and reporting
  • Ensure reconciliation between data domains and safeguard data quality, timeliness, and lineage in line with OSFI expectations
  • Architect and oversee production grade data pipelines and model operationalization across a range of platforms, which may include credit decisioning and scoring platforms (for example, FICO, Moodys), cloud data and analytics platforms (for example, Databricks, Google Cloud, Microsoft Azure, AWS), and statistical and modeling environments (for example, SAS, Python, R)
  • Advise clients on platform selection and integration based on their existing technology landscape rather than a single vendor solution
  • Address operational challenges including late arriving data, production failures, recovery processes, and end to end data and model lineage and audit trails
  • Implement robust model governance, access controls, and controls to meet regulatory and audit requirements
  • Act as a strategic advisor and thought leader, translating complex model architecture and technology into clear insights for non-technical risk executives
  • Critically assess client credit risk, model, and technology landscapes to identify mitigation opportunities and craft innovative, customized solutions


What You'll Bring
Your skills, knowledge, and experiences are what set you apart. Here's what we look for:
  • Demonstrated experience delivering credit risk technology and credit risk model programs, ideally within a technology team, a technology
  • Hands on experience across one or more credit risk and analytics platforms, such as FICO, Moodys, Databricks, Google Cloud, Microsoft Azure, AWS or SAS
  • Proficiency with modern data engineering and modeling tools and languages, such as Python, R, SQL, PySpark, and Spark
  • Deep knowledge of credit risk methodology and credit risk models (for example, PD, LGD, EAD, provisioning and ECL, scoring, and stress testing) and their operational implementation
  • Data Pipeline and Model Engineering: Building resilient, production grade pipelines and model deployment processes, and handling late arriving data
  • Operational Resilience: Experience with production failures and recovery processes
  • Communication: Ability to explain complex model and technology architecture to non-technical risk executives
  • Strong business acumen, problem solving, report writing, and stakeholder engagement skills
  • Strong leadership and team management capabilities
  • A commitment to continuous professional learning to remain at the forefront of regulatory and technology developments


Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Actuarial Science, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism, Presenting Financial Reports, Professional Courage, Rapid Experimentation, Relationship Building {+ 11 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date

About PWC

PwC is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people. As of 2020, 26% of the workforce worked in the Americas, 26% in Asia, 32% in Western Europe, 5% in Middle East and Africa and 11% in Central and Eastern Europe and Central Asia.
Learn more about PWC
Size
284,000 employees
Industry
Founded
1998

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