About this role
Job Description
About Quantitative Analytics Engineering
BlackRock is one of the world’s preeminent asset management firms and an outstanding provider of global investment management, risk management, and advisory services to institutional, intermediary and individual investors around the world. Besides offering a range of investment solutions — from fundamental and quantitative active management approaches to highly efficient indexing strategies – BlackRock also provides direct access to its market leading analytic models by onboarding clients to its Aladdin Platform, an end-to-end portfolio management software solution.
The Investments and Trading Engineering (ITE) team builds and delivers Aladdin's industry-leading risk management, portfolio management, compliance and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk, liquidity and performance attribution models. BlackRock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on models maintained by QAE to identify investment opportunities, build portfolios and manage risk
About the role
We invite motivated professionals to join QAE India as Associate – Financial Model Engineer, contributing to the development and enhancement of our single security analytics and modeling engine for Private Markets, supporting products such as Private Credit and Asset-Backed Financing.
As part of a high performing team, you will focus on building and maintaining analytics and models that power valuation and risk management for private market products. You will work closely with quantitative researchers and product managers to implement robust, scalable solutions that meet evolving business needs.
This role offers exposure to cutting-edge technology with opportunities to learn and grow in a collaborative environment.
Key Responsibilities
Develop and maintain analytics and modeling components for private credit and asset-backed financing products.
Collaborate with quantitative researchers to implement pricing and cashflow models.
Work with senior engineers to design modular, scalable architecture for analytics services.
Participate in code reviews, testing, and deployment processes to ensure high-quality deliverables.
Engage with internal stakeholders to understand requirements and translate them into technical solutions.
Contribute to continuous improvement initiatives, including automation and performance optimization.
About our team
Security Analytics Infrastructure (SAI) is an established team of QAE with presence in Gurgaon, Mumbai, Budapest and New York.
We develop scalable, high throughput, low latency analytical software for valuation of fixed income, Equity and FX Derivative and Structured products.
Challenging the status quo is our norm, and we excel in building modern systems and onboarding innovative technology like microservice architecture. We are pioneers of the firm and early adopters of new tools and industry standards. We are a diverse team with different ideas working towards the same goal.
Our dominant programming languages are C++ and Python. We are passionate about what we do and hope you are, too!
Requirements
You should have
Experience in enterprise software development: at least 3-5 years of hands-on experience.
Strong programming skills in C++17 or later.
Familiarity with Design Patterns
Familiarity with Python or scripting languages (bash, PowerShell).
Understanding of software development tools (version control, test frameworks) and Continuous Integration.
Ability to work collaboratively in an agile team environment.
Nice to have:
Experience with C++ development tools (CMake, CLion).
Knowledge of messaging systems (MQ, Kafka) and serialization (Google Protocol Buffers).
Familiarity with Unix systems (Red Hat, Ubuntu) and profiling tools (gprof, valgrind).
Awareness of DevOps tools (Azure DevOps).
Basic understanding of finance and fixed income asset types (training will be provided).
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 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
