AI-Powered Valuations & Market Risk AVP

Deutsche Bank AG; Manila; On-site; PHP 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive Salary

Attractive Retirement Benefit

Medical and Life Insurance

20 days Annual Vacation Leaves

Job summary

Deutsche Bank AG in Manila is seeking a Market and Valuation Risk Management – Valuations Senior Specialist (AVP) to join the 2LOD Valuation Control team. You will develop Python-based solutions for complex valuation and risk control tasks, collaborating with Quant analysts and Front Office stakeholders.

The role requires a strong quantitative background in finance, hands-on Python experience, and the ability to translate business needs into technical specifications.

Qualifications

• Bachelor-level degree in quantitative field; professional qualifications (CIMA, CFA, FRM) are a plus.
• Strong knowledge of financial markets, products, and regulatory environment.
• Hands-on programming or data analytics experience is preferred.
• Excellent analytical, organizational, and communication skills.

Responsibilities

• Identify and escalate potential off-market exceptions to Front Office and 2LOD partners.
• Validate exotic trade terms are correctly represented in trade bookings.
• Draft and implement robust valuation and risk controls across platforms.
• Collaborate with 1LOD to close control gaps and drive remediation.
• Lead change initiatives with Technology and Quant teams.
• Develop Python-based valuation and analytics solutions with ML models.

Skills

Python programming

Machine learning

Data analysis

Statistical modeling

Financial risk management

Education

Bachelor's degree in Math/Statistics/Finance

Master’s degree preferred

Tools

Python

Tableau

Power BI

SQL

Pandas

NumPy

Job description

Deutsche Bank AG in Manila is seeking a Market and Valuation Risk Management – Valuations Senior Specialist (AVP) to join the 2LOD Valuation Control team. You will develop Python-based solutions for complex valuation and risk control tasks, collaborating with Quant analysts and Front Office stakeholders.

The role requires a strong quantitative background in finance, hands-on Python experience, and the ability to translate business needs into technical specifications.