Modeler jobs in United States, New York, New York
JPMorgan Commercial Investment Bank - Data Modeler Senior Associate United States, New York, New York
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You will focus on experienced hire roles across the Revenue Generating Business in Asset Management, with positions ranging from Analyst to Executive Director. In addition to working on open roles, you will engage in ongoing candidate development and presentation, as well as opportunistic candidate engagement. Your role will also encompass supporting all aspects of Talent Acquisition & Talent Management for Asset Management, including competitive intelligence, market mapping, succession planning, and confidential project work. The ability to foster strong client relationships with senior managers and candidates is essential, and your consultative, strategic thought leadership will be key to your success.
Job Responsibilities
- Lead end-to-end, full life cycle recruitment, from direct approach to completion.
- Conduct requirement intake calls with hiring managers, offering guidance on recruitment processes, controls, and policies.
- Evaluate, interview, and present qualified candidates to hiring managers, refining recruiting strategies based on feedback.
- Serve as a subject matter expert, influencing decision-making and effectively managing hiring manager and candidate expectations.
- Educate candidates on career growth potential, benefits, compensation philosophy, and the advantages of employment, ensuring successful offer closures.
- Develop and implement diversity strategies, educating hiring managers to present a diverse candidate slate.
- Provide meaningful market data to support client needs.
Required Qualifications, Capabilities, and Skills
- Relevant experience with full life cycle recruiting in a fast-paced corporate environment or search firm.
- Strong project management skills with the ability to manage complex assignments and multiple searches while delivering exceptional client service.
- Excellent relationship management skills with both clients and candidates.
- High comfort level with direct sourcing and the ability to engage currently employed candidates.
- Knowledge of executive compensation packages across different competitors and industries, with the ability to negotiate complex compensation deals.
Preferred Qualifications, Capabilities, and Skills
- Experience recruiting for front office roles within Asset Management, specifically with Alternative investments.
- Prior experience working in a search firm, combined with corporate experience.
These jobs might be a good fit
JPMorgan Commercial Investment Bank - Data Modeler Lead United States, New York, New York
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As a Data Domain Modeler Lead, within the Transformation and Innovation team, you will lead the design and implementation of end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for finance users, data analysts, automation, quantitative research and machine learning teams. Being part of an influential and data-centric team focused on data accessibility you will
Job Responsibilities:
- Work on designing new data models for domains such as financials and forecasting models across different scenarios and work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology.
- Represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.
- Lead the engagement and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.
- Design and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting
- Work on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of them
- Create solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics
Required qualifications, capabilities, and skills:
- Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their delivery
- 5-7+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data models; Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
- Hands-on and flexible approach to creating solutions aligned to the tools and skills of the client user. Strong communication skills to present data products and educate data consumers
- Strong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions
- Experience with ETL / ELT process and architecture to move data across pipelines in a lake
- Experience building analytics dashboard or building models suited for interactive dashboard consumption
- Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud
Preferred qualifications, capabilities, and skills:
- Experience with Databricks
- MBA optional
- Knowledge of building data models in consumption tools such as Sigma, Qlik, etc…
These jobs might be a good fit
JPMorgan Risk Management - Climate Macroeconomic Modeler Vice Preside... United States, New York, New York
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As a Climate, Nature and Social Risk Modelling Senior Associate/Vice President within the Climate, Nature, and Social Risk Modelling team, you will play a pivotal role in defining the company's strategy for managing risks related to climate, nature, and social issues. Your collaboration with various internal stakeholders will be crucial, utilizing your robust data analysis, research, and communication skills to aid in the enhancement of our climate and nature risk capabilities. Your established history of responsibility and accountability will be vital as you participate in large-scale, high-impact projects, showcasing your skills in building relationships and executing tasks.
Job responsibilities
- Establish and refine transmission channels between Integrated Assessment Models and large-scale global macro-econometric models.
- Contribute to climate and nature risk scenarios to assess the impact of related shocks on national, sectoral, and regional economies.
- Continuously improve existing macroeconomic models to better capture the complexities of climate and nature risks.
- Develop new models as necessary to address emerging economic issues related to climate and nature.
- Collaborate with climate scientists, economists, and risk professionals to ensure a comprehensive approach to climate and nature risk assessment.
- Integrate macroeconomic insights into broader risk strategies.
- Stay informed on the latest research and developments in macroeconomics, climate science, and related fields.
- Conduct original research to enhance understanding of the economic impacts of climate change and transition.
- Monitor regulatory changes and guidelines related to climate and nature risk management and scenario design.
- Ensure scenario analysis activities comply with relevant regulatory requirements and industry standards.
Required qualifications, capabilities, and skills
- Advanced degree (master’s or Ph.D.) in Economics, Environmental Economics, Climate Science, or a related field.
- Demonstrated experience in macroeconomic forecasting, climate risk analysis, or related areas.
- Solid background in econometric and statistical modelling techniques.
- Familiarity with climate models and the integration of climate data into economic models.
- Proficiency in econometric software and statistical tools (e.g., R, Stata, MATLAB, Python).
- Strong analytical skills to interpret complex data and model outputs.
- Ability to work effectively in cross-functional teams, collaborating with economists, climate scientists, and risk analysts.
These jobs might be a good fit
JPMorgan Risk Management - Modeler Climate Nature Social Vice Preside... United States, New York, New York
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As a Risk Management - Modeler For Climate, Nature and Social - Vice President, you will play an important role in maintaining JPMorgan Chase's strength and resilience. Your efforts help the firm grow responsibly by anticipating emerging risks and applying expert judgment to address real-world challenges affecting our company, customers, and communities. Your strong skills in data analysis, research, and communication will support the development of climate and nature risk capabilities across the organization. You will collaborate with various internal stakeholders, gaining insights into the diverse factors that influence the assessment of climate changes on a large, global financial institution.
Job Responsibilities
- Establish and refine transmission channels between Integrated Assessment Models and large-scale global macro-econometric models and contribute to climate and nature risk scenarios to assess the impact of related shocks on the national, sectorial, and regional economies.
- Improve existing macroeconomic models to better capture the complexities of climate and nature risks and develop new models as necessary to address emerging economic issues related to climate and nature.
- Collaborate with climate scientists, economists, and risk professionals across the firm to ensure a comprehensive approach to climate and nature risk assessment and integrate related macroeconomic insights into broader risk strategies.
- Stay informed on the latest research and developments in macroeconomics, climate science, and related fields, and conduct original research to enhance understanding of the economic impacts of climate change and transition.
- Monitor regulatory changes and guidelines related to climate and nature risk management and scenario design and ensure that the scenario analysis activities comply with relevant regulatory requirements and industry standards.
Required qualifications, capabilities, and skills
- Advanced degree (master’s or Ph.D.) in Economics, Environmental Economics, Climate Science, or a related field.
- Demonstrated experience in macroeconomic forecasting, climate risk analysis, or related areas, with a solid background in econometric and statistical modelling techniques.
- Familiarity with climate models and the integration of climate data into economic models.
- Proficiency in econometric software and statistical tools (e.g., R, Stata, MATLAB, Python), with strong analytical skills to interpret complex data and model outputs.
- Ability to work effectively in cross-functional teams, collaborating with economists, climate scientists, and risk analysts.
Preferred qualifications, capabilities, and skills
- Prior experience in developing and analyzing climate risk scenarios is highly desirable.
These jobs might be a good fit
JPMorgan Planning Analysis - Data Modeler Lead United States, New York, New York
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As a Data Domain Modeler Lead, within the Transformation and Innovation team, you will lead the design and implementation of end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for finance users, data analysts, automation, quantitative research and machine learning teams. Being part of an influential and data-centric team focused on data accessibility you will
Job Responsibilities:
- Work on designing new data models for domains such as financials and forecasting models across different scenarios and work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology.
- Represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.
- Lead the engagement and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.
- Design and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting
- Work on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of them
- Create solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics
Required qualifications, capabilities, and skills:
- Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their delivery
- 5-7+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data models; Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
- Hands-on and flexible approach to creating solutions aligned to the tools and skills of the client user. Strong communication skills to present data products and educate data consumers
- Strong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions
- Experience with ETL / ELT process and architecture to move data across pipelines in a lake
- Experience building analytics dashboard or building models suited for interactive dashboard consumption
- Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud
Preferred qualifications, capabilities, and skills:
- Experience with Databricks
- MBA optional
- Knowledge of building data models in consumption tools such as Sigma, Qlik, etc…
These jobs might be a good fit
JPMorgan Planning Analysis Team - Data Modeler Senior Associate United States, New York, New York
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As a Data Domain Modeler Sr Associate, within the Transformation and Innovation team, you will design and implement end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for finance users, data analysts, automation, quantitative research and machine learning teams.
Job Responsibilities:
- Work on designing new data models for domains such as financials and forecasting models across different scenarios and work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology
- Represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.
- Engage and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.
- Design and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting
- Work on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of them
- Create solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics
- Partner with other high-performing teams within JPM Chase to inspire innovation and champion change throughout the bank
Required qualifications, capabilities, and skills:
- Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their delivery
- Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline; 3-5+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data models
- Hands-on and flexible approach to creating solutions aligned to the tools and skills of the client user and strong communication skills to present data products and educate data consumers
- Strong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions
- Experience with ETL / ELT process and architecture to move data across pipelines in a lake
- Experience building analytics dashboard or building models suited for interactive dashboard consumption
- Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud
These jobs might be a good fit
Share
You will focus on experienced hire roles across the Revenue Generating Business in Asset Management, with positions ranging from Analyst to Executive Director. In addition to working on open roles, you will engage in ongoing candidate development and presentation, as well as opportunistic candidate engagement. Your role will also encompass supporting all aspects of Talent Acquisition & Talent Management for Asset Management, including competitive intelligence, market mapping, succession planning, and confidential project work. The ability to foster strong client relationships with senior managers and candidates is essential, and your consultative, strategic thought leadership will be key to your success.
Job Responsibilities
- Lead end-to-end, full life cycle recruitment, from direct approach to completion.
- Conduct requirement intake calls with hiring managers, offering guidance on recruitment processes, controls, and policies.
- Evaluate, interview, and present qualified candidates to hiring managers, refining recruiting strategies based on feedback.
- Serve as a subject matter expert, influencing decision-making and effectively managing hiring manager and candidate expectations.
- Educate candidates on career growth potential, benefits, compensation philosophy, and the advantages of employment, ensuring successful offer closures.
- Develop and implement diversity strategies, educating hiring managers to present a diverse candidate slate.
- Provide meaningful market data to support client needs.
Required Qualifications, Capabilities, and Skills
- Relevant experience with full life cycle recruiting in a fast-paced corporate environment or search firm.
- Strong project management skills with the ability to manage complex assignments and multiple searches while delivering exceptional client service.
- Excellent relationship management skills with both clients and candidates.
- High comfort level with direct sourcing and the ability to engage currently employed candidates.
- Knowledge of executive compensation packages across different competitors and industries, with the ability to negotiate complex compensation deals.
Preferred Qualifications, Capabilities, and Skills
- Experience recruiting for front office roles within Asset Management, specifically with Alternative investments.
- Prior experience working in a search firm, combined with corporate experience.
These jobs might be a good fit
