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Sr Quantitative Fin Analyst

Charlotte, North Carolina;

Job Description:

Job Description:

We are looking for a subject matter expert in commercial credit risk modeling space who will be responsible for validating commercial scorecards, Basel III capital, loan loss reserve and/or stress testing models. The candidate must have a strong background in commercial credit risk assessment with 5+ years of experience in either developing or validating models used for credit ratings, commercial loss forecasting or capital calculations. This position is for a senior validator who will be expected to independently conduct validations involving evaluation of underlying assumptions, choice of risk drivers, statistical and mathematical methods, empirical evidence, data quality, and software implementation. The validator is expected to write independent code to conduct validation testing including development of independent benchmarking and alternative assumption analysis. This is a high visibility position and the senior validator will interact with model developers, model users, and model owners routinely. She/he must have strong technical skills including programming, strong verbal and written communication skills, and a demonstrated ability in technical writing. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.


The ideal candidate will have several years of experience working as a quant at either a large financial institution or major rating agency. In addition, it is desirable for her/him to have strong academic qualifications with publications in respected journals.


Position responsibilities:

  • Performing all model validation tasks including but not limited to independent model validations, annual model reviews, ongoing monitoring report reviews, required action item reviews, and peer reviews.
  • Conducting administrative and governance activities such as model identification, model approval, breach actions, extension assessments, to manage model risk.
  • Providing hands-on leadership for projects pertaining to quantitative modeling and analytics methodologies such as logistic/linear regression, time series analysis, and optimization.
  • Providing methodological, analytical, and technical support to effectively challenge and influence the strategic direction and tactical approaches of these projects.
  • Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; and if needed, communicating and interacting with the third line of defense (e.g. internal audit) as well as external regulators and governance agents.

Required Qualifications:

  • 5+ years of relevant work experience
  • Expertise in developing or validating commercial credit risk models at large financial institutions
  • In-depth understanding of statistical inference and related techniques
  • Deep knowledge in a statistical or analytical modeling language such as SAS, Matlab, Python or R
  • Experience working with large and complex data sets using Excel or SQL
  • Strong written and verbal communication skills
  • Deep understanding and knowledge of model performance measures
  • Masters or PhD in finance, economics, mathematics, or statistics (or other related quantitative discipline)

Desired skills:

  • Experiences with commercial credit risk rating, capital estimation and loss forecasting
  • Ability to work independently
  • Extensive knowledge of banking regulations on credit risk, model risk and credit risk modeling methodologies
  • Strong academic qualifications with publications in respected journals

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Job Description:

We are looking for a subject matter expert in commercial credit risk modeling space who will be responsible for validating commercial scorecards, Basel III capital, loan loss reserve and/or stress testing models. The candidate must have a strong background in commercial credit risk assessment with 5+ years of experience in either developing or validating models used for credit ratings, commercial loss forecasting or capital calculations. This position is for a senior validator who will be expected to independently conduct validations involving evaluation of underlying assumptions, choice of risk drivers, statistical and mathematical methods, empirical evidence, data quality, and software implementation. The validator is expected to write independent code to conduct validation testing including development of independent benchmarking and alternative assumption analysis. This is a high visibility position and the senior validator will interact with model developers, model users, and model owners routinely. She/he must have strong technical skills including programming, strong verbal and written communication skills, and a demonstrated ability in technical writing. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.


The ideal candidate will have several years of experience working as a quant at either a large financial institution or major rating agency. In addition, it is desirable for her/him to have strong academic qualifications with publications in respected journals.


Position responsibilities:

  • Performing all model validation tasks including but not limited to independent model validations, annual model reviews, ongoing monitoring report reviews, required action item reviews, and peer reviews.
  • Conducting administrative and governance activities such as model identification, model approval, breach actions, extension assessments, to manage model risk.
  • Providing hands-on leadership for projects pertaining to quantitative modeling and analytics methodologies such as logistic/linear regression, time series analysis, and optimization.
  • Providing methodological, analytical, and technical support to effectively challenge and influence the strategic direction and tactical approaches of these projects.
  • Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; and if needed, communicating and interacting with the third line of defense (e.g. internal audit) as well as external regulators and governance agents.

Required Qualifications:

  • 5+ years of relevant work experience
  • Expertise in developing or validating commercial credit risk models at large financial institutions
  • In-depth understanding of statistical inference and related techniques
  • Deep knowledge in a statistical or analytical modeling language such as SAS, Matlab, Python or R
  • Experience working with large and complex data sets using Excel or SQL
  • Strong written and verbal communication skills
  • Deep understanding and knowledge of model performance measures
  • Masters or PhD in finance, economics, mathematics, or statistics (or other related quantitative discipline)

Desired skills:

  • Experiences with commercial credit risk rating, capital estimation and loss forecasting
  • Ability to work independently
  • Extensive knowledge of banking regulations on credit risk, model risk and credit risk modeling methodologies
  • Strong academic qualifications with publications in respected journals

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21034209

Band: H4

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Aubrey Drake

Referral Bonus:

0