Tier 1 colleges only

Analyst and Associate level open only

1-6 years exp

Core Responsibilities:

Model Validation (Primary Focus): You will be responsible for independently assessing the conceptual soundness, developmental evidence, implementation integrity, and ongoing performance of models used within Investment Management divisions (including Asset Management - AM).

This covers models like:

- Portfolio construction & optimization models

- Asset allocation models

- Risk models (VaR, stress testing, factor models)

- Pricing/Valuation models for complex or hard-to-value assets

- Performance attribution models

- AI/ML-driven models (e.g., for alpha generation, trading signals, risk forecasting)

- Client suitability/asset allocation models

Model Governance Contribution: You will actively participate in establishing, enhancing, and promoting robust model governance practices across these divisions.

This involves:

- Helping define policies, standards, and procedures specific to IM/NAM models.

- Ensuring compliance with the group-wide MRM framework.

- Contributing to model inventory management and risk rating.

- Facilitating model lifecycle management (development, validation, approval, monitoring, retirement).

- Promoting a strong culture of model risk awareness.

Required Skills & Attributes (Implied):

Strong Technical Foundation: Deep understanding of quantitative finance, statistics, econometrics, and financial modeling principles. Experience with relevant asset classes (equities, fixed income, derivatives, alternatives).

Model Validation Expertise: Proven ability to critically review model documentation, assess conceptual soundness, design and execute testing strategies (back-testing, stress-testing, benchmarking), and evaluate ongoing performance monitoring.

AI/ML Literacy: Understanding of machine learning techniques (supervised/unsupervised learning, NLP, neural networks), their applications in finance, and crucially, their specific risks (overfitting, explainability, bias, data drift, adversarial attacks).

Regulatory Knowledge: Awareness of key MRM regulations and guidance (SR 11-7, EBA/ECB guidelines, FSA requirements, etc.).

Investment Management Domain Knowledge: Understanding of portfolio management processes, risk management practices, and the specific challenges within asset management.

Communication & Stakeholder Management: Excellent ability to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders (quants, PMs, senior management, auditors, regulators). Ability to build relationships and influence.

Critical Thinking & Challenge: Strong analytical skills, intellectual curiosity, and the confidence to constructively challenge model developers and users.

Problem-Solving & Pragmatism: Ability to identify issues, propose practical solutions, and balance risk mitigation with business needs within the regulatory framework.

Project Management: Ability to contribute effectively to a significant implementation project, managing tasks and timelines.

Integrity & Independence: Essential for maintaining objectivity in validation and governance.

Career Opportunity:

This role is positioned as a chance for individuals who:

- Aspire to deepen expertise in the high-demand field of MRM.

- Want to specialize in the unique context of Investment Management and Asset Management.

- Are excited by the challenge of building something new and impactful with limited precedents.

- Are motivated by working at the intersection of finance, regulation, and cutting-edge technology (AI/ML).

- Seek a career path within a transformative area critical to the future of financial institutions.

A strong graduate/post graduate degree in Engineering, Mathematics, Statistics, Computer Science, Economics or other quantitative area

Expertise in at least one of the following areas:

- Quantitative investment management, asset allocation, and portfolio optimization

- Risk management within asset management companies

- Corporate valuation methods

- Index calculation methodologies, including Quantitative Investment Strategies (QIS)