Financial Engineering, Associate
BlackRock
About this role
Are you interested in building innovative technology that shapes global financial markets? Are you motivated by solving complex, quantitative problems in a fast paced, collaborative environment? Do you want to work alongside experienced technologists and financial engineering experts to deliver mission critical solutions at scale?
BlackRock is recruiting multiple financial engineering professionals in Budapest across several teams within Aladdin Financial Engineering (AFE). These roles span a range of quantitative and engineering disciplines and offer the opportunity to contribute to the development of the Aladdin platform across diverse business areas. The teams we are hiring to are:
Model Governance Team
Single Security Pricing Team
Performance Attribution Team
Private Markets SWAT Team
While the specific responsibilities vary by team, all positions focus on building robust, scalable technology and quantitative models that support investment decision making, risk management, and regulatory requirements for BlackRock and its global client base.
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 range 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.
We are:
Passionate about building high quality models to meet the needs of tomorrow
Delivering solutions for both BlackRock investment users and over 100 global financial firms
Developing in C++, Python or other programming languages, with cutting edge technologies
A team who loves to innovate and continuously deliver value to our users through quantitative solutions
You are:
Passionate about quantitative solutions with personal ownership for the work you do
Curious and eager to learn new things, with a healthy disrespect for the status quo
Love working within a successful team, learning from and helping others
Willing to embrace work outside your comfort zone, and push boundaries
Data and quality focused, with an eye for the details that make great solutions
You sometimes make mistakes, but always learn from them
Requirements:
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 of relevant working experience
Strong programming skills and experience using Python or C++ to conduct statistical/econometric analyses
Strong knowledge of financial, mathematical, and statistical theory
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
An ability to translate real business problems into technical solutions
Ability and willingness to learn fast, multi-task, self-motivate and pick up new things easily.
Ability to work independently and efficiently in a fast-paced and team-oriented environment.
Demonstrated ability to build positive relationships.
Good to have:
Knowledge of Private Markets and/or Performance Attribution modelling background is a plus
Knowledge of Unix/Linux, Git is a plus
Stochastic calculus background
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 | Twitter: @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.