JPMorganChase Logo

JPMorganChase

Lead Data Scientist- AI/ML- Cybersecurity

Posted 5 Days Ago
Hybrid
Columbus, OH
Senior level
Hybrid
Columbus, OH
Senior level
The Lead Data Scientist will design and implement AI/ML solutions, analyze data, and enhance cybersecurity efforts through advanced modeling and automation.
The summary above was generated by AI
Job Description
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 Lead Data Scientist 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:
  • Work closely with Cyber Technology Group's subject matter experts (SMEs) to align data science initiatives with cybersecurity objectives.
  • Extract, analyze, and interpret data from JPMC data sources, assessing the effectiveness and precision of new data sources and data collection techniques. Leverage big data technologies to handle and process large-scale datasets efficiently.
  • Develop bespoke data models and algorithms tailored to meet the specific needs of the 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.
  • Coordinate with various functional teams to implement models and track results
  • Establish robust processes and tools for monitoring model performance using industry standard metrics and data accuracy, ensuring continuous improvement. Assess and select suitable Large Language Model (LLM) tools and models for diverse tasks, focusing on parameter-efficient, mixture-of-expert, and instruction methods.
  • Curate custom datasets and fine-tune LLMs to enhance their performance and applicability.
  • Design and develop advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and intelligent agents for LLMs. Conduct experiments to push the capability limits of LLM models and enhance their dependability.
  • Orchestrate multiple models and develop innovative approaches for handling sparse-data situations, and develop custom models when suitable models are unavailable in JPMC's inventory, from suppliers, or in the open-source domain.
  • Leverage LLM APIs to automate routine and complex cyber operational tasks, enhancing efficiency and response times, and integrate LLM-driven automation into existing cybersecurity frameworks to streamline operations and reduce manual intervention.
  • Continuously evaluate and refine LLM API usage to ensure alignment with evolving cyber threats and operational needs.

Required qualifications, capabilities, and skills:
  • Bachelors or Master's degree with at least 5 years of experience in computer science, statistics, artificial intelligence, machine learning, or a related field with hands-on experience in designing and developing end-to-end AI solutions.
  • Experience in developing ML pipelines, including data gathering, preparation, model selection, training, testing, validation, and prediction.
  • Proficiency in a wide range of algorithms and models, including Linear Regression, Decision Trees, Neural Networks, and LLMs more using python and other AI/ML programming languages and frameworks.
  • Experience in backend and frontend development, including databases, programming languages, web frameworks, and APIs.
  • Strong understanding of statistical theory, data mining, and machine learning algorithms.
  • Expertise in Python, SQL, and Spark for developing large-scale applications.
  • Strong problem-solving skills with a focus on product development and proven experience in applying AI to practical technology solutions.
  • Experience in data architecture and machine learning techniques.
  • Excellent written and verbal communication skills for team coordination.
  • Eagerness to learn and excel at new technologies and techniques.

Preferred qualifications, capabilities, and skills:
  • Experience in effectively utilizing GPU and compute resources in frameworks like PyTorch or TensorFlow.
  • Proficiency in multiple programming languages, including C, C++, and object-oriented languages.
  • Extensive experience in cloud environments such as AWS, Google Cloud, and Azure, with a focus on deploying and managing AI/ML solutions.
  • Familiarity with CI/CD pipelines and Agile methodology.
  • Knowledge of statistical and data mining techniques, including GLM/Regression, Random Forest, and more.
  • Experience with web services and distributed data/computing tools, such as Hadoop, Hive and Spark.

About Us
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 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
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

AWS
Azure
C
C++
GCP
Python
PyTorch
Spark
SQL
TensorFlow

Similar Jobs at JPMorganChase

19 Days Ago
Hybrid
Columbus, OH, USA
Senior level
Senior level
Financial Services
The Lead Data Scientist at JPMorgan Chase will drive AI and ML initiatives, develop data models, collaborate on cybersecurity objectives, and enhance operational efficiency using LLMs.
Top Skills: Artificial IntelligenceAWSAzureDeep LearningGCPGpuHadoopHiveLarge Language ModelsMachine LearningPythonPyTorchSparkSQLTensorFlow
2 Days Ago
Hybrid
Columbus, OH, USA
Junior
Junior
Financial Services
As a Data Science Associate, you will analyze financial products and trends, provide analytical support, and present findings to stakeholders using data tools and advanced modeling techniques.
Top Skills: PythonRSQL
3 Days Ago
Hybrid
Columbus, OH, USA
Senior level
Senior level
Financial Services
The role involves leading process improvements, mentoring team members, analyzing business processes, and developing AI-driven solutions while collaborating across teams.
Top Skills: AWSAzureGCPJavaPower BIPythonSQLTableau

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account