Product Manager Product Manager …

Moody's
à San Francisco, CA, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Moody's
à San Francisco, CA, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Moody's
Product Manager
Job Description
Join the product management team in the Risk and Finance Analytics division at Moody's Analytics. This role requires quantitative background and relevant work experience in the impairment accounting, credit risk modeling, loss allowance estimation, and agile software development cycle. The Product Manager will consolidate client requirements and calculation specifics into user-focused software design. Knowledge of credit risk modeling and accounting processes at financial institutions are required. Hands-on experience on data mining and quantitative programming are desirable. The role will entail consolidating client requirements, researching market best practices, monitoring regulatory standards, performing acceptance testing, conducting product training, and occasionally supporting pre-sales activities.

Responsibilities:

• Provide business analysis specialized in the credit risk modeling, loss allowance calculation, and financial/accounting (FASB, IFRS) to facilitate product feature design and development

• Research, gather, and synthesize requirements from market best practice, regulatory accounting standards, and client use cases into functional specifications

• Work on a daily basis with the software engineering teams to provide priorities, use cases, acceptance tests, and documentation according to the product strategy and client-driven requirements

• Deliver product roadmap, demo, training, mockup, prototyping, customization, and documentation materials to support pre-sales, onboarding, and post-sales support activities

Qualifications

• Undergraduate/first-level degree (e.g., Bachelor's degree) in quantitative fields is required. Graduate degree (e.g. MBA, Master's), or Ph.D. in financial mathematics/engineering or other quantitative fields is preferable

• Solid understanding of finance and credit risk models - CFA, CPA, FRM, or PRM certification a plus.
• 3-5 year of exposures in agile software development cycle, with some hands-on experience in R or Python coding.

• 3-5 year of experience in quantitative analysis in credit risk modeling, loss allowance estimation, impairment accounting (ALLL/CECL/IFRS9), and fair value/hedge accounting

• Proficiency in R or Python is desirable

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com.. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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