About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Full-time
Medical, Retirement
Posted 15 hours ago
8.1
Based on 466 frontline employees who took The Breakroom Quiz
46th of 141 rated banks
Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a part of the Investment Risk & Analytics team, you are at the center of keeping JPMorgan Chase strong and resilient. Managed Strategies included JPMorgan's own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc.
We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in risk quantification.
Job responsibilities
Required qualifications, capabilities, and skills
5+ years of hands-on experience in data science, machine learning, or AI.
Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics
Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models.
Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra.
Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression.
Have experience with investment products including fixed income, equity, and mutual funds.
Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.).
Experience with data visualization tools such as Tableau, Power BI, or similar.
Logical thought process, ability to scope out an open-ended problem into data driven solution.
Strong quantitative and analytical skills and ability to work with a global team.
Preferred qualifications, capabilities, and skills
Relevant STEM field is highly preferred.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Get the full story on Breakroom
Sourced by ZipRecruiter
Finance and insurance and banking and credit intermediation
10,000+ Employees
New York, NY, US
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Third Party Risk Analyst Salaries
Q: What skills or qualities help someone succeed as a Senior Risk Analyst?
A: To succeed as a Senior Risk Analyst, key technical skills include proficiency in risk management frameworks (e.g., COSO, ISO 31000), advanced data analysis and modeling (e.g., Excel, statistical software), and knowledge of regulatory requirements (e.g., SOX, GDPR). Soft skills such as strong communication, strategic thinking, and problem-solving abilities are also essential, as Senior Risk Analysts must effectively collaborate with stakeholders, identify and mitigate risks, and provide actionable recommendations. By combining these technical and soft skills, Senior Risk Analysts can effectively navigate complex risk landscapes, drive business growth, and advance their careers through leadership opportunities and professional recognition.
Q: What is the career path for a Senior Risk Analyst?
A: A Senior Risk Analyst's typical career progression involves starting as a Risk Analyst or Junior Risk Analyst, progressing to a Risk Manager or Senior Risk Analyst, and eventually moving into leadership roles such as a Director of Risk Management or Chief Risk Officer. Key opportunities for skill development include advanced certifications like the Certified Risk Manager (CRM) or Certified Information Systems Security Professional (CISSP), as well as expertise in risk assessment methodologies, data analysis, and communication. Long-term career prospects may lead to roles in compliance, audit, or internal control, or even transition into industries like consulting, finance, or government, where risk management expertise is highly valued.
