Energy & Climate Analytics Modeler, Associate - Aladdin Financial Engineering
BlackRockAbout the role
About this role
Business Unit Overview:
Our Energy and Climate Analytics (ECA) team is responsible for building analytics and capabilities that are needed to quantify the impacts of energy policy, natural hazards, natural capital, and other geospatial factors on financial assets. We also develop the architecture and software used for production and delivery of analytics to portfolio and risk management professionals both within and outside BlackRock via the Aladdin® software platform.
Given the diversity of skills required to develop these products, ECA brings together professionals from a wide range of domains spanning meteorology, hydrology, energy systems modeling, economics, financial engineering, and computer science; and spanning functions including modeling, analytics, and data engineering. As part of ECA, you will be working with clients and partners to develop quantitative models to assess the financial impacts of shocks from weather and climate, energy policy, and other geospatial risk factors on a wide range of asset classes including corporate equity and fixed income, mortgage-backed securities, municipal bonds, sovereign bonds, as well as on investments in private markets such as infrastructure and real estate. As energy, weather and climate, and other geospatial sources of investment risk become an ever-increasing focus for investors, you will be developing models and analytics to help drive a deeper understanding of risks and opportunities in this space. We partner with stakeholders from a range of teams within BlackRock and from external Aladdin® clients to support multiple use cases including regulatory reporting, risk management, and portfolio construction.
Job Purpose/Background:
We are seeking a highly skilled, motivated, and curious individual to join our team as Quantitative Researcher with a focus on Geospatial Data Science. In this role, you will be responsible for leveraging a range of geospatial datasets, including related to weather and climate risks, to provide insights and support financial decision-making processes. You will work closely with cross-functional teams to analyze data, develop models, create visualizations, and deliver analytics that drive strategic initiatives and business growth.
Key Responsibilities:
Analyze geospatial data including related to weather and climate risks; identify trends, patterns, and anomalies; and develop models to quantify how they have impacted financial performance for a range of public asset classes.
Develop, implement, and maintain models and workflows to forecast financial outcomes due to weather and climate risks, and from other geospatial risk sources.
Carry out necessary quality control, model governance, software development standards, and
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