AVP, Business Solutions & Risk

AVP, Business Solutions & Risk

The AVP of Business Solutions & Risk is responsible for engaging senior Front Office stakeholders within PESG to define and refine business needs against departmental and firm-wide initiatives. This role supports research professionals and portfolio managers by translating investment questions into quantitative models, overseeing the design, implementation, backtesting, and validation of these models. The position involves managing demand within your assigned coverage and planning capability roadmaps to enable scalable research and analytical work.

Our client is a major financial institution focused on asset management and quantitative research, leveraging advanced data, technology, and AI tools to enhance research productivity and decision-making. The company values innovation, technical excellence, and operational efficiency across its global teams.

Role Overview

The AVP will work within a cross-functional team including data experts, technology partners, and Front Office stakeholders. Reporting directly to senior management, you will oversee the sourcing and structuring of specialised datasets, ensuring delivery of impactful analysis and model development. Success is measured by the timely execution of initiatives that improve business processes, advance model sophistication, and optimise data utilisation by applying AI and automation techniques.

Key Skills & Experience

• Lead engagement with senior Front Office stakeholders to understand business needs and translate them into technical solutions.
• Build and improve quantitative models supporting research, investment, and trading activities.
• Manage data sourcing, structuring, and integration of datasets to support scalable research efforts.
• Develop and backtest models using Python and SQL, ensuring robustness and alignment with investment strategies.
• Utilise data visualisation tools such as Tableau and Databricks for effective communication of complex information.
• Support model validation and oversee the implementation of AI and machine learning techniques for data analysis and research workflows.
• Collaborate with cross-departmental partners including technology, operations, and risk teams to deliver capabilities aligned with business needs.
• Proactively share insights and guidance to uplift team performance and deepen business knowledge.
• Support the adoption of innovative data tools and processes to enhance analytical productivity.

Requirements

• Bachelor’s degree in a quantitative discipline or Finance with strong quantitative content.
• Relevant certifications such as CFA or FRM preferred.
• 6–8 years of experience in asset management, financial services, or related fields.
• Proven experience in developing, backtesting, and validating quantitative models and datasets.
• Strong programming skills in Python and SQL, with knowledge of data engineering practices.
• Experience with data visualisation tools (Tableau/Databricks).
• Fluent in AI tools and techniques to enhance research and modelling workflows.
• High analytical and problem-solving skills, with excellent communication and stakeholder management abilities.
• Good understanding of asset management principles, investment strategies, and market dynamics.
• Familiarity with quantitative research methods, including statistical inference and time-series analysis.

If you have the relevant skills and experience, please apply with an updated CV.