Associate, Aladdin Sustainability

Description

About this role

Associate, Quantitative Engineering & AI, Aladdin Sustainability Analytics

Elevate your career by joining the world's largest asset manager Thrive in an environment that fosters positive relationships and recognizes outstanding performance We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and effectively engage your involvement in our success.

BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.

About the team:
We invite you to become a part of the Aladdin Sustainability Analytics (ASA) team, a diverse and collaborative community of developers and researchers dedicated to innovation in sustainability analytics. As an ASA team member, you will engage with clients and partners on Aladdin Climate and other cutting-edge analytical tools. You will have the opportunity to collaborate across various functions including engineering, research and modeling, analytics, product management, and design, contributing to the realization of our products.

The Quantitative Engineering & AI Team within ASA is a dedicated group of developers committed to integrating climate and financial models, as well as data, into production. This includes leveraging AI capabilities to enhance our offerings. Your role within the team will involve developing solutions that evaluate the financial implications of climate change, climate policy, and energy transition policy across a multitude of asset classes, ranging from corporate equity and fixed income to mortgages, municipal bonds, sovereign debt, and alternative investments.

About the role:
The Quantitative Engineering & AI Team in ASA is seeking a Quantitative Engineer to develop and maintain climate risk models for BlackRock’s climate analytics product. In this role, you will collaborate with the research and modeling team to implement quantitative models and analytics for climate risk. You will have the opportunity to work on technical solutions for complex problems - we use both a Python-based domain specific language and Python itself to develop quantitative models. You will also gain a lot of knowledge about the business — you will be exposed to BlackRock’s process of modeling climate risk and financial risk using diverse data sources. You will work on one of the most relevant topics in finance and business — climate risk analytics — and you will join a team of experts to together create a product that leads the industry.

Key responsibilities:

- Drive innovation and technical solution development to address emerging challenges.
- Uphold the highest standards of product quality through meticulous oversight.
- Streamline operational processes through strategic automation initiatives.
- Facilitate effective communication with multiple partner teams to ensure seamless project planning and execution.

Skills & Qualifications:

- Degree in computer science, financial engineering, statistics, applied mathematics, operation research, or other quantitative disciplines; graduate degree and research experience are preferred
- A minimum of 2 years of professional experience in a software engineering, quantitative development, or data operation team
- Proficient in Python and shell scripting within Unix-like operating systems.
- Well-versed in SQL database management and operations.
- Demonstrates a comprehensive understanding of software design and architecture principles, ensuring robust and scalable system development.
- Demonstrates excellent communication skills and the ability to collaborate effectively within a diverse, global team setting.
- Exhibits a strong sense of curiosity with a proven capacity to learn and adapt swiftly.
- Passionate about sustainability issues and asset management industry
- Experience with financial and economic research and quantitative modeling is a plus
- Experience with cloud platform and Cl