Sr Lead Security Engineer - AI ML Data Scientist - JPMorgan Chase
Columbus, OH
About the Job
Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.
As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.
Job responsibilities
+ Create bespoke data models and algorithms tailored to address Cyber Technology Group's requirements and apply them to data sets while developing and employing the company's A/B testing framework to assess model quality
+ Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets
+ Utilize open-source and third-party models while contributing to the development of innovative AI capabilities
+ Coordinate with various functional teams to implement models and track results
+ Establish processes and tools for monitoring model performance and data accuracy and develop custom models when suitable models are unavailable in JPMC's inventory, from suppliers, or in the open-source domain. Extract and analyze data from JPMC data sources, evaluating the effectiveness and precision of new data sources and data collection techniques
+ Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability
+ Orchestrate multiple models and develop innovative approaches for sparse-data situations
+ Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs
+ Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
+ Triages based on risk assessments of various threats and managing resources to cover impact of disruptive events
+ Adds to a team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
+ Formal training or certification on security engineering concepts and 5+ years applied experience
+ Experience developing ML pipelines, including data gathering from system records, data preparation (analysis and preprocessing), model selection, training, testing, validation, and prediction
+ Proficient in using algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, Bagging and Boosting, K-Nearest Neighbor, Support Vector Machine, Single/Multi-Layer Perceptron, Feed Forward, CNN, RNN, LSTM, GRU, BERT, Hugging Face and Spacy Models, Naive Bayes, Markov-Model, Graph Models, and more
+ Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
+ Familiarity with frameworks such as React or Angular
+ Demonstrate a solid understanding of statistical theory, data mining, or machine learning algorithms. Understand advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and have experience applying them
+ Expertise in Python, SQL, and Spark for developing large-scale applications using extensive datasets and have experience working with and creating data architectures
+ Skilled in planning, designing, and implementing enterprise-level security solutions
+ Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
+ Practical cloud native experience
Preferred qualifications, capabilities, and skills
+ Experience in managing GPU and compute resources in frameworks like PyTorch or TensorFlow
+ Proficiency in coding with multiple languages, including C, C++, and object-oriented languages
+ Experience in developing applications in cloud environments such as AWS, Google Cloud, and Azure and familiarity with CI/CD pipelines and Agile methodology
+ Experience utilizing web services such as Redshift, S3, Spark, DigitalOcean, etc.
+ Familiarity with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, and others
+ Experience in LLM based solution development and wrapper languages; e.g., OpenAI with LangChain and intelligent Agents
+ Show proven experience in applying AI to comprehensive and practical technology solutions
JPMorgan Chase & Co., 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans
As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.
Job responsibilities
+ Create bespoke data models and algorithms tailored to address Cyber Technology Group's requirements and apply them to data sets while developing and employing the company's A/B testing framework to assess model quality
+ Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets
+ Utilize open-source and third-party models while contributing to the development of innovative AI capabilities
+ Coordinate with various functional teams to implement models and track results
+ Establish processes and tools for monitoring model performance and data accuracy and develop custom models when suitable models are unavailable in JPMC's inventory, from suppliers, or in the open-source domain. Extract and analyze data from JPMC data sources, evaluating the effectiveness and precision of new data sources and data collection techniques
+ Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability
+ Orchestrate multiple models and develop innovative approaches for sparse-data situations
+ Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs
+ Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
+ Triages based on risk assessments of various threats and managing resources to cover impact of disruptive events
+ Adds to a team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
+ Formal training or certification on security engineering concepts and 5+ years applied experience
+ Experience developing ML pipelines, including data gathering from system records, data preparation (analysis and preprocessing), model selection, training, testing, validation, and prediction
+ Proficient in using algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, Bagging and Boosting, K-Nearest Neighbor, Support Vector Machine, Single/Multi-Layer Perceptron, Feed Forward, CNN, RNN, LSTM, GRU, BERT, Hugging Face and Spacy Models, Naive Bayes, Markov-Model, Graph Models, and more
+ Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
+ Familiarity with frameworks such as React or Angular
+ Demonstrate a solid understanding of statistical theory, data mining, or machine learning algorithms. Understand advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and have experience applying them
+ Expertise in Python, SQL, and Spark for developing large-scale applications using extensive datasets and have experience working with and creating data architectures
+ Skilled in planning, designing, and implementing enterprise-level security solutions
+ Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
+ Practical cloud native experience
Preferred qualifications, capabilities, and skills
+ Experience in managing GPU and compute resources in frameworks like PyTorch or TensorFlow
+ Proficiency in coding with multiple languages, including C, C++, and object-oriented languages
+ Experience in developing applications in cloud environments such as AWS, Google Cloud, and Azure and familiarity with CI/CD pipelines and Agile methodology
+ Experience utilizing web services such as Redshift, S3, Spark, DigitalOcean, etc.
+ Familiarity with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, and others
+ Experience in LLM based solution development and wrapper languages; e.g., OpenAI with LangChain and intelligent Agents
+ Show proven experience in applying AI to comprehensive and practical technology solutions
JPMorgan Chase & Co., 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans
Source : JPMorgan Chase