We’re Hiring: Financial Data Scientist!

Looking for a role that fosters collaboration, creativity and career growth in a vibrant office environment? We got you covered!

We are currently on the lookout for Financial Data Scientist to join our team at Cloudstaff, the #1 workplace everywhere! Think you qualify for the role? Attach a 1-2 minute video intro and introduce yourself to us so we can meet you virtually. Attach this together with your updated CV to become a priority applicant!

Role: Financial Data Scientist

Work Arrangement: Work from Office

Location: Philippines - Makati / Angeles (Pampanga)

Schedule: Night shift

As a Model Validator, you will perform independent model validation and identification of model risks, and will support ongoing model risk mitigation and reporting. You will work closely with a diverse group of professionals across the enterprise, including quantitative analysts, data scientists, risk managers, and model owners to ensure the accuracy and reliability of our models. This is an individual contributor role. 

Key Responsibilities:

• Implement model validation plans to review and assess the soundness and performance of various models,
• Work closely with model developers to identify risks introduced by the use of models,
• Perform independent hands-on model validations and analyses,
• Prepare model validation reports detailing findings, recommendations, and conclusions for senior management, regulatory bodies, and auditors,
• Assist with regular model risk tracking and reporting, including the remediation and closure of identified issues.

Qualification and requirements:

• A minimum of Bachelor’s degree in a quantitative discipline, such as Economics, Math, Computer Science, Data Science, etc.
• A minimum of 3 years of experience working in model development or model validation
• Familiarity with models in financial markets, e.g. models used for credit risk, fraud, market risk, and liquidity risk, including AI/ML models,
• Proficiency in Python or R, data wrangling, AWS,
• Strong written and oral communication skills, with ability to articulate validation work performed and resulting risk assessment,
• Familiarity with industry regulations and regulatory frameworks related to model risk management, such as SR 11-7,
• Ability to work and thrive in a fast-paced environment, with strong project management and delivery track record.

Non-negotiable skills & requirements:

• A minimum of Bachelor’s degree in a quantitative discipline, such as Economics, Math, Computer Science, Data Science, etc.
• A minimum of 3 years of experience working in model development or model validation
• Familiarity with models in financial markets, e.g. models used for credit risk, fraud, market risk, and liquidity risk, including AI/ML models,
• Proficiency in Python or R, data wrangling, AWS,