3.0 - 8.0 years
14.0 - 18.0 Lacs P.A.
Gurugram
Posted:2 weeks ago| Platform:
Work from Office
Full Time
About this role The Aladdin Financial Engineering business is responsible for all analytics technology across the Aladdin platform. We research, develop, and implement state-of-the-art quantitative models used to assess financial risk across fixed income, equities, derivatives, alternative products and private markets. Team overview & what we do Energy & Climate Analytics (ECA) is responsible for building models and capabilities that are needed to quantify the impact of climate risk and other sustainability factors on financial assets. We are dedicated to deliver impactful energy & climate data & analytics through curated front-end tools, data as service, engagement and thought leadership to BlackRock and external clients. Team s core capabilities also include geospatial analytics at asset level for infrastructure and real estate. Team also curates the premium content using GenAI/LLM and builds production grade pipeline for research data & climate analytics. Given the diversity of skills required to develop these products, the team brings together professionals from research and modelling, analytics, climate scientists and data engineering teams. As a member of ECA, you will be working with clients and partners to develop state of the art financial models and analytics to assess the financial impacts of climate change, climate policy and energy policy on many asset classes - from corporate equity and fixed income, to mortgages, municipal bonds, sovereign debt and alternative investments like private markets & infrastructure. As climate risk and sustainable investing become an ever-increasing focus for investors, you will be developing the production grade content pipeline for research data & climate analytics including curation & research of premium content & quantify its financial impact to help drive a deeper understanding of risks and opportunities in this space. Job Purpose/Background: Energy & Climate Analytics (ECA) is looking for a quant developer to focus research data pipeline for corporate transition risk and decarbonization analytics. The primary job responsibilities include developing production grade data pipeline for model research & maintaining it, this will also include development of pipelines for applied analytics use-cases across various analytics. This person will also work on research & curation of premium content in this field Transition Risk, Private Markets, Infrastructure analytics which will drive its usages into various investment processes. Familiarity with following areas is essential: Data pipeline using python Data analytics & content research Python development Exposure to Corporates asset class / Balance Sheet Knowledge Exposure to climate datasets, vendors and standards Familiarity with following areas is favorable: Exposure to climate data like ESG, Transition, Decarbonization Big Data & pipelines GenAI / LLM based data curation Transition Risk & Decarbonization Modeling Key Responsibilities: Develop, design and build scalable and modular software components for quantitative analysis and financial modeling and investment analytics for risk models, and high-volume complex data processing pipelines. Ensure quality & performance of research data pipeline and curated new premium content using different approaches Conduct research on additional content / data which can add value to models and or investment processes Perform & implement complex quantitative calculations with high accuracy and performance Collaborate with modelers, content experts to develop content expertise and implement optimized and performant solutions Apply statistical methods to real-world financial data & climate data to derive business insights Optimize algorithms for time-series data analysis and financial computations Skills & Qualifications: Bachelor or master s level education in Computer Science, Engineering, or a related discipline Minimum 3+ years of experience in Python-based full scale production software development and design Formidable analytical, problem-solving, and production troubleshooting skills Understanding of climate/ESG vendors, climate datasets, and standards A passion for providing fundamental software solutions for highly available, performant full stack applications with a Student of Technology attitude Passion to work in a team-environment, multitasking, and effective communication skills Knowledge of software development methodologies (analysis, design, development, testing) and basic understanding of Agile / Scrum methodology and practices 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 Good to Have Understanding of Agile work environments, including knowledge of GIT, CI/CD. Knowledge of investment process, climate risk particularly transition risk & decarbonization analytics. Exposure to curate unstructured data using NLP / Gen AI /LLM CFA/FRM preferred Our benefits . Our hybrid work model . About BlackRock . 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.
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
14.0 - 18.0 Lacs P.A.
0.4 - 0.5 Lacs P.A.
Salary: Not disclosed
Experience: Not specified
Salary: Not disclosed
Experience: Not specified
Salary: Not disclosed
Salary: Not disclosed
Experience: Not specified
Salary: Not disclosed
Salary: Not disclosed
Salary: Not disclosed
Salary: Not disclosed