Model Risk Management, RQA, Analyst

About this role Business Overview The Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks . RQA’s mission is to advance the firm’s risk management practices and deliver independent risk advice and constructive challenge to drive better business and investment outcomes. RQA’s risk managers play a meaningful role in BlackRock’s investment process, using quantitative analysis and a multi-disciplinary skillset to tackle real-world problems and provide tangible solutions in the investment management process. RQA is committed to investing in our people to promote both individual accomplishment and a strong collaborative environment. As a global group, our goal is to create a culture of inclusion which encourages teamwork, innovation, diversity and the development of future leaders. We actively engage in discussions on career growth and work with team members to understand how personal passions and strengths connect with our purpose. Model Validation team in Model Risk Management The Model Validation team is an integral part of the global Model Risk Management Team . The Global Model Risk Management function within the Enterprise Risk team is responsible for developing the firm-wide Model Risk Management framework and the implementation of the framework across BlackRock. Role The Model Validation team performs independent review s of model s, primarily focusing on the models produced and owned by the Aladdin Financial Engineering (AFE) group. The team works with the model owners and other stakeholders ( e.g. model users; governance representatives etc.), designs and runs independent testing of the models, and provide effective challenge to the model ’s methodology and implementation , focusing on the usage cases of the models. We are looking for enthusiastic people combined with a clear sense of how to “make it happen” through teamwork, engagement and commitment. This role requires strong good understanding of quantitative modelli ng, exposure to programming  languages ( e.g., Python, R, C) , familiarity with financial products and strong verbal and written communication skills. Knowledge/ Experience / Qualifications: Advanced Degree (BS, MS)  master’s degree in a quantitative discipline, and 1-3 years of experience with s trong Mathematics, Statistics and Analytical skills  is required . Strong technical background and practical application of one ( or more ) of programming languages is required (for example: Python; R; C; Java; SQL; Hadoop; Linux applications; Advanced Excel modelling / VBA etc.). Some experience in using AI for analytical work is an advantage . Strong verbal and written communication and interpersonal skills, including ability to explain sophisticated technical concepts in clear way  is are required . Practical or theoretical knowledge in one of following types of models is an advantage: derivatives analytics; structured products analytics; portfolio risk factor models; private/alternatives asset class modelling; liquidity modelling. Broad market and finance knowledge in certain asset class areas is an advantage ( for example: Equity; Fixed Income; Beta; Derivatives; A(M)BS; Credit; Private; LDI; other etc. ). Prior experience in quantitative modelling, model validation or related roles is a plus CFA/FRM or progress towards them are a plus . Detail oriented paying attention to detail s . Fluent in spoken and written English is required . Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration an ... (truncated, view full listing at source)