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Credit Risk Management Department – Quantitative Analytics – Model Team AVP

Pay
USD 65,000–150,000/year — pay source
Pay RangeActual salary is commensurate with candidate’s relevant years of experience, skillset, education and other qualifications. USD $65,000.00 - USD $150,000.00 /Yr.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Develop credit risk models and write technical and non-technical documentation

  • Obtain and prepare model development data

  • Coordinate remediation of model validation findings

  • Maintain credit model inventory and conduct annual model reviews

  • Build tools and dashboards to improve risk analysis

From the employer’s posting
Develop credit related models (including but not limited to risk rating models, CECL model, stress testing models), test, implement and deliver the comprehensive technical and non-technical model documentation.
Obtain and prepare model development data in support of standing up credit risk models.
Independently coordinate the remediation of model validation findings and provide analytical remediation solutions
Maintain credit model inventory and conduct annual model review and ongoing performance monitoring
Create tools and dashboards which can enhance and improve the risk analysis.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Statistics/Mathematics/Physics/Computer Science/Engineering or other quantitative fields required, Master's preferred
Qualification wording
Bachelor's degree in Statistics/Mathematics/Physics/Computer Science/Engineering or other quantitative fields required, Master's preferred
Education & alternatives
Qualifications - Bachelor's degree in Statistics/Mathematics/Physics/Computer Science/Engineering or other quantitative fields required, Master's preferred - Minimum 4 years of experience in stress testing, allowances methodology, risk rating modeling and credit risk management at a financial institution

Posting record

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Status in our records
Live
First seen by us
Oct 8, 202632 days ago
Recorded sightings
28
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$65K–$150K against $166K–$240K, the middle half of what similar US postings state.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 32

Similar jobs usually come down between day 7 and day 72.

From 4,777 similar postings that came down. Coming down is not always a hire.

Bank of China Limited, New York Branch is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 618, the most 1,131, and the latest week had 1,131.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Introduction

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.

Overview

The position will lead and assist in developing and maintaining credit methodology and infrastructure. Main responsibilities include establishing/maintaining credit risk measurement methodologies, building and maintaining credit risk analytics infrastructure and tools, support the model risk governance (model documentation, testing, ongoing monitoring, stress tests, etc.), as well as providing on-going analytical support for credit risk related analysis.

Responsibilities

Credit Risk Model Development:

  • Develop credit related models (including but not limited to risk rating models, CECL model, stress testing models), test, implement and deliver the comprehensive technical and non-technical model documentation.
  • Obtain and prepare model development data in support of standing up credit risk models.
  • Perform quantitative research to implement model changes, enhancements and remediation plans.
  • Work with stakeholders across business and functional teams during model development and implementation process.
  • Create tools and dashboards which can enhance and improve the risk analysis.
  • Conduct analysis of the implemented model short-comings and design model enhancement plans.
  • Identify risks not captured by analytics, develop and implement methodology to quantify the materiality, and design a strategic plan to better integrate and manage such risk
  • Support discussions with model owner, stakeholders and regulators as a subject matter expert
  • Provide training and guidance to model users

Support Model Validation:

  • Communicate with model users, model risk manager and senior management regarding validation findings and remediation activities
  • Independently coordinate the remediation of model validation findings and provide analytical remediation solutions
  • Remediate model risk management findings via applying analytical skills and produce model findings remediation report
  • Enhance model documentation to meet model risk management requirement
  • Support and drive the team to implement the activities defined in model risk management framework and ensures that adherence to model risk management framework

Model Performance and Ongoing Monitoring:

  • Maintain credit model inventory and conduct annual model review and ongoing performance monitoring
  • Periodically evaluates and enhances the models to maintain their relevance and ensure compliance with current regulatory requirements.
  • Collaborates with business units to identify the relevant data used in analyses and modeling and to ensure that it is collect and retained.
  • Develops, enhances, implements, documents and provides ongoing expert support for the practical applications of analytics, financial economics, and quantitative methods in support management decision making and risk management.

Quantitative Analysis:

  • Conducting research and analysis to provide a micro view of risk management in a particular business line and a macro view of risk management for the bank as a whole
  • Provides technical knowledge and advice to management related to quantitative analysis, modeling and stress testing.
  • Develops, documents, and maintains quantitative tools and models used to measure risks, including but not limited to quantify the Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) to be used in the credit review process and in the calculation of the allowance for credit losses.

Qualifications

  • Bachelor's degree in Statistics/Mathematics/Physics/Computer Science/Engineering or other quantitative fields required, Master's preferred
  • Minimum 4 years of experience in stress testing, allowances methodology, risk rating modeling and credit risk management at a financial institution
  • CPA/CFA/FRM preferred
  • Demonstrate broad knowledge of credit markets and specific products knowledge including corporate loans, structured loans, leveraged loans, mergers & acquisition finance, project finance and trade finance, and accounting and capital market knowledge
  • Demonstrate knowledge in at least one of the areas: Stress testing, CECL, Rating Methodology, and fixed income pricing

Pay Range

Actual salary is commensurate with candidate’s relevant years of experience, skillset, education and other qualifications.

USD $65,000.00 - USD $150,000.00 /Yr.
Source details

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Pay
Pay RangeActual salary is commensurate with candidate’s relevant years of experience, skillset, education and other qualifications. USD $65,000.00 - USD $150,000.00 /Yr.
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

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