Build scalable data platforms powering private investment portfolio analytics, reporting and risk oversight.
You are a strategic thinker passionate about driving solutions in Private Investments Analytics. You have found the right team.
As Private Investments Analytics Professional within our Private Investments team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.
Job Responsibilities- Design scalable data pipelines, databases, and analytics infrastructure to support portfolio monitoring, risk management, and investment reporting.
- Establish data governance, validation, reconciliation, and quality control processes to ensure accurate and consistent investment and risk data.
- Leverage automation tools, AI-enabled solutions, and advanced analytics frameworks to improve data management, reporting efficiency, and risk monitoring.
- Implement controls, monitoring processes, and exception management frameworks to strengthen risk oversight and operational resilience.
- Partner with investment teams, risk managers, portfolio managers, and technology stakeholders to translate business requirements into scalable solutions.
- Evaluate emerging technologies to continuously enhance the data ecosystem, analytical frameworks, and risk management capabilities.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative discipline.
- Minimum 3 years of experience in data engineering, data science, analytics, quantitative research, or a related role.
- Demonstrate advanced proficiency in Python and experience with data engineering and analytics libraries.
- Apply strong SQL skills with hands-on experience in database design, optimization, querying, and data modeling.
- Work with relational and non-relational databases, data warehouses, and large-scale datasets.
- Apply knowledge of data governance, metadata management, data quality controls, and master data management principles.
- Demonstrate strong problem-solving abilities to design scalable, technology-enabled solutions.
- Communicate effectively and manage stakeholders, clearly explaining technical concepts.
- Maintain strong attention to detail and ability to focus on complex tasks.
- Demonstrate initiative and confidence completing assignments with limited supervision.
- Master’s degree in a related quantitative discipline.
- Bring experience in investment financial analysis, private equity, or private credit.
- Use visualization/dashboarding tools such as Streamlit, Tableau, or Qlik.
- Leverage experience with cloud-based analytics environments and modern data platforms.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative discipline
- Minimum 3 years of experience in data engineering, data science, analytics, quantitative research, or related role
- Advanced proficiency in Python
- Strong SQL skills with hands-on experience in database design, optimization, querying, and data modeling
- Experience with relational and non-relational databases, data warehouses, and large-scale datasets
- Knowledge of data governance, metadata management, data quality controls, and master data management principles
- Strong problem-solving abilities to design scalable, technology-enabled solutions
- Effective communication and stakeholder management skills
- Strong attention to detail and ability to focus on complex tasks
- Demonstrated initiative and confidence completing assignments with limited supervision
- Master's degree in a related quantitative discipline
- Experience in investment financial analysis, private equity, or private credit
- Experience with visualization/dashboarding tools such as Streamlit, Tableau, or Qlik
- Experience with cloud-based analytics environments and modern data platforms
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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