Senior Data Scientist — AI & Risk Modeling

PassFort; New York (NY); On-site; USD 116,500 - 212,200; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Parental leave

Paid time off

401(k) plan

Tuition reimbursement

Job summary

Moody's is seeking a capable candidate for a role focused on developing and enhancing analytical frameworks utilizing deep learning and quantitative methods. This position requires partnering with various business lines to design innovative solutions addressing complex financial problems.

Ideal candidates will have a strong programming background, depth in relevant domains, and the ability to communicate effectively. A Ph.D. or Master’s degree in a quantitative field is required, along with 2-3 years of experience in the financial industry.

The anticipated salary range for this full-time role is $116,500 - $212,200, with additional compensation and benefits.

Qualifications

• Experience in the financial industry is preferred.
• Demonstrated experience in model development.
• Proven ability to explain technical subjects to diverse audiences.

Responsibilities

• Partner across business lines to enhance modeling frameworks.
• Design innovative analytical solutions using deep learning.
• Identify opportunities for automation and decision making.
• Collaborate with teams to build analytical platforms.
• Provide technical leadership for modeling strategy.
• Communicate insights clearly to stakeholders.

Skills

Hands-on experience with deep-learning models

Strong programming skills in Python or R

Ability to communicate complex work clearly

Depth in deep-learning domains

Exposure to cloud platforms (AWS, GCP, Azure)

Experience with large datasets

Full model-development lifecycle ownership

Research output (publications, conference work)

Education

Ph.D. or Master’s degree in relevant quantitative field

Job description

Moody's is seeking a capable candidate for a role focused on developing and enhancing analytical frameworks utilizing deep learning and quantitative methods. This position requires partnering with various business lines to design innovative solutions addressing complex financial problems.

Ideal candidates will have a strong programming background, depth in relevant domains, and the ability to communicate effectively. A Ph.D. or Master’s degree in a quantitative field is required, along with 2-3 years of experience in the financial industry.

The anticipated salary range for this full-time role is $116,500 - $212,200, with additional compensation and benefits.