Quantitative Analyst

Popular; Puerto Rico; Hybrid; USD 70,000 - 90,000; Full time

Job summary

A leading financial institution in Puerto Rico is seeking a Quantitative Analyst to validate quantitative risk models and ensure compliance with regulatory standards. The ideal candidate will have a strong background in statistical modeling and machine learning, with a collaborative spirit to engage with various stakeholders. This role offers a unique opportunity to contribute to meaningful projects within an evolving organization, dedicated to delivering essential financial services.

Qualifications

• 2+ years of experience in model implementation/validation.
• Strong background in statistical modeling and machine learning.
• Knowledge of BSA/AML regulations is a plus.

Responsibilities

• Validate, test, and oversee usage of advanced quantitative/statistical models.
• Create validation documentation and reports.
• Interact with stakeholders for model risk management.

Skills

Statistical Modeling

Machine Learning

Problem Solving

Communication

Collaboration

Education

Bachelor’s/Master’s Degree in Computer Science, Mathematics, Applied Statistics, Data Science, or a quantitative field

Tools

Python

R

SQL

Microsoft Excel

Power BI

Job description

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Location:

San Juan, PR

Company: Popular

Workplace Type: Hybrid

Quantitative Analyst

Popular is seeking a quantitative analyst who will conduct the validation for quantitative risk models and core system applications subject to Model Risk & Governance policy requirements such as credit risk, operational risk, scenario variables/macroeconomic forecasting models, Bank Secrecy Act (BSA) / Anti Money Laundering (AML) and fraud system rules, etc. which are used to assess the adequacy of risk modeling for regulatory and business requirements.

Essential Duties and Responsibilities

• Validates, tests, documents, implements, and/or oversees usage of advanced quantitative/statistical and AML models. The statistical models are utilized in forecasting of the bank’s deposit, revenues, stress scenario and allowances. BSA/AML models cover Anti Money Laundering, Sanction Screening, Know Your Customer (KYC), Client Due Diligence (CDD), and other forms of financial crimes monitoring.
• Perform independent challenges of machine learning models used for fraud detection and fraud risk management. Fraud models cover transaction authentication (debit cards, credit cards, ACH) and account originations (loans, credit cards and deposit accounts).
• Deliverables include the creation of validation documentation such as: presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures.
• Provide effective challenge on the conceptual and technical soundness of the models’ design, theory, and framework through various testing following guidelines based on SR 11-7.
• Interact with stakeholders such as model developers, model sponsors, model users, and production, for model risk management related activities.
• Perform complex mathematical analysis utilizing various statistical methods or techniques. Areas of focus are models using machine learning (Random Forest, GBT, XGBoost, Neural Networks), logistic regression and various ensemble techniques.
• Working optimally as a team member with other quantitative analysts at Popular, as well with external consultants.
• Evaluating model performance monitoring process, and conducting model annual reviews; ann keep up to date with regulatory and legal requirements.
• Communicate clearly the results of analysis and potential outcomes of model validations to key decisions makers.
  

Education

Bachelor’s/Master’s Degree in Computer Science, Mathematics, Applied Statistics, Data Science Physics or in a quantitative field.

Experience

At least 2 years of experience in model implementation/validation/development, experience in machine learning is desirable. Master’s degree in the abovementioned fields is a plus.

Knowledge in BSA/AML/OFAC/Fraud systems or regulations is a plus.

Other Qualifications

• Strong statistical modeling and machine learning background based on technical training or advanced education in a quantitative field. Understanding of and experience with machine learning methods, including classification theory, tree-based modeling methods (Random Forest, GBT, XGBoost), neural networks, logistic regression, and others.
• Excellent problem solving and decision-making skills.
• Ability to work with multiple tasks simultaneously, establish priorities, and meet deadlines.
• Ability to work under pressure and with minimum supervision.
• Strong interpersonal and collaboration skills.
• Negotiation skills
• Excellent written and verbal communication skills in English and Spanish.
• Computer and technological skills: Proficiency in the Microsoft suite of products (i.e., PowerPoint, Excel, Power BI, Word, Azure, etc.)
• Strong experience using Python, R, or other programming languages to manipulate data, visualize and draw insights from large data sets.
• Knowledge of Machine Learning/statistical frameworks, such as Jupyter, AWS, Azure ML, Knime, SAS, Strata, etc.
• Candidates are expected to have excellent scientific and technical documentation and presentation skills, assertive & influencing skills, and the skill to explain theoretical concepts to a non-expert audience in easy-to-understand language.
• Knowledge of relational databases and SQL.

Values

• 1. Passion for People
• 2. Own Every Moment
• 3. Succeed Together
• 4. Build the Future

Important: The candidate must provide evidence of academic preparationor courses related to the job posting, if necessary.

ABOUT US

Popular is Puerto Rico’s leading financial institution and have been evolving since it was founded over a century ago. From a small bank it has developed into a large corporation that offer a wide variety of services and financial solutions to our customers, with presence in the United States, the Caribbean and Latin America.

As employees, we are dedicated to making our customers dreams come true by offering financial solutions in each stage of their life. Our extensive trajectory demonstrates the resiliency and determination of our employees to innovate, reach for the right solutions and strongly support the communities we serve; therefore, we value their diverse skills, experiences and backgrounds.

We reaffirm our commitment to always offer essential financial services and solutions for our customers and communities, including during emergency situations and/or natural disasters. Popular’s employees are considered essential workers, whose role is critical in the continuity of these important services even under such circumstances. By applying to this position, you acknowledge that Popular may require your services during and immediately after any such events.

If you have a disability or need more information about requesting an accommodation, please contact us at [e-mail] . This email inbox is monitored for such types of requests only. All information you provide will be kept confidential and will be used only to the extent required to provide needed exemptions or reasonable accommodations. Any other correspondence will not receive a response.

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