Market and Valuations Risk Management - Valuations Senior Specialist - AVP
Deutsche Bank · Manila, Philippines · 14d ago
Job Description:
Job Title: Market and Valuation Risk Management – Valuations Senior Specialist - AVP
Location: Manila
Corporate Title: Assistant Vice President
The Market and Valuation Risk Management (MVRM) group is a 2nd line of defence (2LOD) control under the Bank’s Chief Risk Office. MVRM globally identifies, assesses and manages the market risks, and is responsible for independent valuation of balance sheet positions, predominantly across the Corporate & Investment Bank (CIB).
Market Conformity Control (MCC), and Exotic Trade Review (ETR) are two key 2LOD control teams under MVRM’s Valuation Control unit. MCC performs independent validation that transactions conform to prevailing market levels at time of execution using pre-determined methodologies. ETR, on the other hand, checks and validates economic terms of dually-booked exotic trades match with executed legal documents agreed with the Bank’s clients.
Aside from MCC and ETR teams, the Technical Valuations (Tech Vals) team is a part of MVRM's Valuation Control unit, drives the change, innovation and AI strategy for two key 2LOD control teams: (1) Market Conformity Control (MCC) which independently validates that transactions adhere to prevailing market levels at the time of execution, using established methodologies, and (2) Exotic Trade Review (ETR) which checks and validates that the economic terms of complex, "exotic" trades match the executed legal documents agreed upon with clients.
Tech Vals ensures these control functions remain cost-effective, robust, and adaptable to future opportunities and challenges through technology and innovation.
What we’ll offer you
Competitive Salary
Attractive Retirement Benefit
Medical and Life Insurance upon employment
20 days Annual Vacation Leaves
Your key responsibilities
(for Market Conformity Control and Exotic Trade Review)
Market Conformity Controller identifies and escalates potential off-market exceptions to Front Office, and/or other key functions of the Bank part of the transaction.
Exotic Trade Reviewer ensures key economic terms of exotic trades (i.e. trades modelled on two different settlement and risk & PnL platforms) are appropriately represented in the trade booking securities.
Identify and highlight control gaps in trading and booking practices with 1st line of defence (1LOD) stakeholders such as Business Control and Business Compliance.
Serve as main POC for issues managements and resolution, including escalations from stakeholders.
Regularly review utilized methodologies amidst dynamic market environment
Take ownership in change initiatives and implementations which may include discussions with Technology and Strats teams
Proactively identify process gaps for remediation, and deliver continuous improvement initiatives
(for Technical Valuations)
Design, develop, and implement robust Python-based solutions for complex valuation, risk management, and control processes, leveraging machine learning and artificial intelligence techniques.
Build and maintain scalable data pipelines and data processing frameworks to support advanced analytical models.
Collaborate with MVRM quantitative analysts and stakeholders to translate complex business requirements into technical specifications and deliver effective, innovative solutions.
Develop, test, and deploy machine learning models to identify valuation anomalies, improve data quality, and enhance efficiency of control processes.
Research and evaluate new technologies and methodologies in Python, ML, and AI to continuously improve our technical valuations framework.
Integrate Python-based solutions with existing systems and data visualization tools (e.g., Tableau) to provide actionable insights and automated reporting.
Ensure all developed solutions are well-documented, maintainable, and adhere to best practices for code quality and security.
Your skills and experience
(Market Conformity Control and Exotic Trade Review)
Bachelor's Degree in either Math, Statistics, Accountancy, Financial Engineering, Finance or equivalent, while further professional qualification or study .e.g. CIMA, CPA, CFA, FRM, or Master’s Degree will be an advantage
Solid knowledge in financial markets products (Credit, Rates, FX, Equities, and Derivatives), with understanding of trading strategies, market dynamics and regulatory environment preferred
Previous work on programming or data analytics is preferred
Strong control mind-set, and solid analytical, problem-solving skills
Highly organized and can work both independently and as part of a team in a fast-paced environment.
Demonstrates an intrinsic motivation, and ability to critically think and navigate problems on their own.
Good communication skills and the ability to work in a multi-cultural setting with senior stakeholders across locations
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
(for Technical Valuations)
Hands-on experience in Python development, specifically in data science, machine learning, or quantitative finance applications.
Proven experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras) and data manipulation libraries (e.g., Pandas, NumPy).
Strong understanding of data structures, algorithms, and software development best practices.
Experience with data engineering, including building and optimizing data pipelines (e.g., SQL, cloud-based data platforms).
Bachelor's Degree in Data Science, Computer Science, Math, Statistics, Physics, Engineering or other equivalent quantitative science courses. Master’s degree or PhD is a significant advantage.
Knowledge of financial products, market risk, and valuation methodologies is highly desirable is an advantage.
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Strong control mind-set, and solid analytical, problem-solving skills.
Highly organized and can work both independently and as part of a team in a fast-paced environment.
Demonstrates an intrinsic motivation, and ability to critically think and navigate problems on their own.
Good communication skills and the ability to work in a multi-cultural setting with senior stakeholders across locations.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
How we’ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
About us and our teams
Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
Click here to find out more about our diversity and inclusion policy and initiatives.
Deutsche Bank & Diversity
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.