The model/anlys/valid group mgr is accountable for management of complex/critical/large professional disciplinary areas.
leads and directs a team of professionals.
requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function.
applies in-depth understanding of the business impact of technical contributions.
strong commercial awareness is a necessity.
generally accountable for delivery of a full range of services to one or more businesses/ geographic regions.
excellent communication skills required in order to negotiate internally, often at a senior level.
some external communication may be necessary.
accountable for the end results of an area.
exercises control over resources, policy formulation and planning.
primarily affects a sub-function.
involved in short- to medium-term planning of actions and resources for own area.
full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.
responsibilities: qualifications: education:
develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational.
also, may develop, validate and strategize uses of scoring models and scoring model related policies.
full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.
develop models and oversee model development, validation, and deployment efforts.
advances risk management methodology and integrate models into business decisions and planning.
manage successful annual quantitative and qualitative assessments and submissions.
works with large datasets and complex algorithms to solve data science challenges.
leverages big data to develop innovative deployable solutions.
help introduce best-in-class, cutting edge model techniques to drive profitability through innovation.
ensures timely model performance tracking, and assist in process automation to drastically improve process/operation efficiencies (where possible) that will enable the business to make rapid decisions against market condition changes
ensures the compliance of development and validation of models with respect to internal and external guidelines.
supports the development of training curriculum and standards
partners with risk and decision management organizations to understand the source of new data and continue to improve the process of defining, extracting and utilizing the new data
interacts with senior levels of management to facilitate understanding of usage of risk models and inform critical decisions.
provide leadership and guidance for junior modelers.
appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
10+ years experience
sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or application risk scoring.
excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
experience with analytical or data manipulation tools (e.g. Sas, sql, r, c programming in unix) proficient with ms office suite.
ability to deliver compelling presentations and influence executive audiences.
excellent communicator; ability to engage and inspire team forward.
ability to drive innovation via thought leadership while maintaining end-to-end view.
effective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators.
experience working in big data environments; intellectual curiosity to stay abreast of technological advances.
bachelor's/university degree or equivalent experience, potentially masters degree
sr vice president of credit risk model development will lead the design, development, and implementation of credit risk models.
you will work closely with the risk analytics team and other business units to develop models that provide insights into credit risk exposure, optimize capital efficiency, and meet regulatory requirements.
this is a hands-on leadership role that requires strong quantitative expertise and in-depth knowledge of risk modelling techniques.
key responsibilities
lead the end-to-end development of credit risk models (pd, lgd, ead) for various portfolios, ensuring alignment with industry best practices and regulatory standards (e.g., basel, ifrs 9).
partner closely with cross-functional teams (data science, finance, risk, technology) to collect, analyze and interpret complex data sets for model development.
manage the model lifecycle, including development, back-testing, validation, calibration, and performance monitoring.
ensure compliance with internal model risk management policy, regulatory requirements, and stress testing frameworks.
present model development findings and risk assessments to senior leadership, external regulators, and internal auditors.
stay abreast of the latest developments in credit risk modelling, machine learning, and quantitative finance techniques.
provide mentorship and guidance to junior team members, fostering a culture of continuous learning and innovation.
drive automation and process improvements in model development and risk reporting workflows.
key qualifications
advanced degree (master's or ph.d.) in a quantitative field such as statistics, mathematics, econometrics, financial engineering, or related disciplines.
minimum of 8-10 years of experience in credit risk modelling, ideally within the banking or financial services sector.
proven track record in developing and implementing credit risk models (pd, lgd, ead) and hands-on experience with stress testing and scenario analysis.
expertise in statistical modelling and machine learning techniques.
proficiency in programming languages such as python, r, sas and database tools like sql.
strong understanding of regulatory frameworks (basel, ifrs 9, cecl, etc).
job family group
risk management
job family
model development and analytics
time type
full time
most relevant skills
analytical thinking
business acumen
constructive debate
data analysis
escalation management
policy and procedure
policy and regulation
risk controls and monitors
risk identification and assessment
statistics
other relevant skills
for complementary skills, please see above and/or contact the recruiter.
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