**About this role** **About Aladdin Financial Engineering (AFE):** Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE), the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. **Role Description:** The Modelling Research team in AFE is looking for a performance attribution modeller to join the Budapest team to contribute to the modelling and development effort in building and maintaining of Aladdin performance attribution models. The new member should help to support the increasing demand for Aladdin’s performance measurement and performance attribution capabilities. Portfolio performance evaluation involves performance measurement, performance attribution and performance appraisal. Performance attribution plays a key role in the investment process, both as a feedback loop in the investment process as well as providing a means of articulating the implication of investment decisions to clients. It helps investors understand the key drivers of active return: Sector Allocation decisions or ability to research attractive investment opportunities at the individual asset level. This team is responsible for the design and support of performance attribution models including documentation, testing, performance monitoring and other model governance exercises working closely with colleagues in core analytics solution, engineers, product managers and users. You will also work with clients and relationship managers to ensure that clients are getting the most out of Aladdin’s performance capabilities and that client feedback is addressed appropriately. We offer a dynamic, team-oriented environment with tremendous learning and growth potential. **Key Responsibilities:** The candidate will be performing duties related to all aspects of performance attribution model development: + Researching, designing new performance attribution models + Collaborating with software developers to test and release new models into production + Supporting existing performance attribution models in production; developing and improving model quality control and model performance monitoring; maintaining and extending research framework + Investigating and resolving client queries relating to model methodology and functionality **Key Skills & Qualifications** + Graduate degree in a technical field (Maths, Statistics, Computer Science and/or Engineering, Finance, Econometrics, Physics) + Postgraduate degree in a technical field is a plus + 2+ years relevant working experience + Strong programming skills and experience using Python to conduct statistical/econometric analyses + Knowledge in Unix/Linux, Git is a plus + Strong knowledge of financial, mathematical, and statistical theory + Strong interest in financial market + Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members and clients + Enthusiasm, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict time frame + Good time management skills including the ability to handle multiple projects + Interest in performance attribution modelling **Our benefits** To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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 and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. **About BlackRock** At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/blackrock) | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.