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Senior Consultant, Model Risk Management

Visa

Cambridge

Hybrid

GBP 70,000 - 90,000

Full time

12 days ago

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Job summary

Visa, a leader in payment technology, seeks a Senior Consultant for its Model Risk Management team in Cambridge. This role involves validating impactful models, maintaining documentation, and collaborating with stakeholders to enhance model risk management capabilities. Ideal candidates will possess advanced quantitative skills and significant experience in model validation within the financial sector.

Qualifications

  • 8+ years of work experience in quantitative modeling.
  • Strong skills in Python, Deep Learning, and statistical analysis.
  • Experience with model validation and performance monitoring.

Responsibilities

  • Conduct validations of complex financial models with minimal supervision.
  • Track model performance and maintain comprehensive records.
  • Develop code libraries to enhance efficiency in validations.

Skills

Quantitative modeling
Deep Learning
Machine Learning
Statistical analysis
Critical thinking
Communication skills
Python
SAS
SQL
Data processing

Education

Bachelor’s Degree
Advanced Degree (e.g. Masters, MBA, PhD)

Tools

Python
Spark
Unix/Linux
Hadoop
TensorFlow
SAS
SQL

Job description

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Join to apply for the Senior Consultant, Model Risk Management role at Visa

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.



Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.



Job Description

The Model Risk Management (MRM) team at Visa has a mandate to validate business-impactful models firm-wide and more generally to identify, measure, and handle model risk across Visa. The Senior Consultant, Model Risk Management will be responsible for conducting and assisting in model validations of models to strengthen model risk management capabilities at Visa.

You will be responsible for:

  • Identifying sources of risk in models. With minimal supervision conduct or assist with conducting validations of quantitative and complex financial models including AI/ML. Thoroughly and comprehensively review all model components and developmental evidence. Responsible for providing and documenting effective challenges to conceptual soundness of models and conducting quantitative analytics.
  • Maintaining detailed and comprehensive records of validation projects through work papers and other acceptable project artifacts.
  • Tracking and reviewing model performance monitoring results. Review evidence for closure of model validation findings.
  • Building strong working relationships with key model stakeholders, in particular, model developers and users.
  • Supporting activities of Model Risk Management Working Group in determining agenda, meeting minutes, etc.
  • Keeping abreast of new modeling techniques by actively attending training sessions/courses.
  • Developing code libraries for routine tasks to increase efficiency of all validators.
  • Providing input and train all Model stakeholders in the MRM procedures and use of the GRC tool, Global Risk Oversight tool (GoRO).

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.



Qualifications

Basic Qualifications:

  • 8 or more years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:

  • 9 or more years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

Required experience:

  • Advanced knowledge of quantitative models obtained through advanced degree (PhD, MS, or MFE) and/or prior work experience
  • Strong quantitative skills and practical experiences in areas such as financial theories, Deep Learning, Machine Learning, Statistical or other mathematical analysis
  • Experience reviewing and validating business-impactful models through the lens of conceptual soundness and robustness
  • End-to-end processing and modelling of large data sets
  • Familiarity with deploying and maintaining of statistical models and algorithms in a production setting
  • Excellent critical thinking, writing and verbal communication skills
  • High level of competence in Python, Spark, and Unix/Linux scripts
  • Demonstrable experience using distributed systems (for example, Hadoop, Hive, Impala)
  • Extensive experience with SAS/SQL/Hive for extracting and aggregating data
  • Experience with time series modelling problems
  • Deep learning experience with TensorFlow

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Other
  • Industries
    IT Services and IT Consulting

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