Join a team where you will apply your data science skillset to ensure fair value across complex products. As part of the Valuation Control Group, you will play a critical role in ensuring accurate pricing and robust controls across a diverse portfolio. This is your opportunity to collaborate with senior leaders and influence key decisions. We value innovation, analytical thinking, and a commitment to excellence. Make your mark in a role that offers both challenge and growth.
As a Valuation Controller specialising in credit markets, you will deliver data-driven solutions leveraging the latest technologies to ensure the accuracy and consistency of fair value assessments across a wide range of financial products. You are expected to deliver impactful analysis to enhance valuation control. We're looking for people who have a curious mindset, are solution-oriented and are passionate about new technology. Your work will help us meet regulatory standards and deliver value to our clients and stakeholders.
Job responsibilities:
- Work closely with valuation controllers to understand business challenges and identify where data science can add the most value
- Contribute to the design and development of analytics and models to monitor and assess valuation risk for illiquid credit products (e.g., Private Credit)
- Help build tools for outlier detection, benchmarking, and systematic monitoring of valuation inputs and outputs
- Assist in developing approaches to infer fair value for illiquid instruments using sparse market data and proxy relationships
- Explore and evaluate new data sources, tools, and techniques (e.g., Databricks functionality) that could enhance the team's capabilities
- Collaborate with technology and quantitative research teams to implement solutions on strategic infrastructure
- Build your expertise in illiquid credit products, valuation methodologies, and the regulatory landscape with support from the team
Required qualifications, capabilities, and skills
- Degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc
- Knowledge and interest in credit markets and willingness to learn about financial product valuation
- Experience working with AI/ML
- Proficiency in programming languages such as Python and familiarity with core data science libraries
- A self-starter mentality — you're comfortable taking initiative, working through ambiguity, and figuring things out with support rather than step-by-step instructions
- Strong written and verbal communication skills
Preferred Qualifications, Capabilities, and Skills:
- CFA certification
- Experience with cloud-native platform infrastructure (AWS, Databricks)