Vice President - Machine Learning Engineer

Key Skills

AWS, Azure, Cloud computing, Data Visualization, Deep Learning, Design, Google Cloud Platform (GCP), Java Programming, Keras software library, Leadership, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), NumPy, Optimization, Pandas, Python Programming, PyTorch, Reinforcement Learning, Scala Programming, Scikit-learn, SciPy, SQL, Statistics

Job Description

As a Machine Leaning Engineer you will be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda

Job Responsibilities: 

• Builds relationships with internal teams and clients and is passionate about unlocking value using AI and Machine learning
• Demonstrates intellectual curiosity for solving difficult problems
• Is a self-starter with technical knowledge and a hands on approach to using our data assets both efficiently and effectively
• Develop approaches for understanding each individual client and their behavior to deliver highly impactful ML models
• Develop, plan and execute analytical projects as an individual contributor and in teams. 
• Lead the “productionzation” analytical insights and machine learning models in collaboration with product managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities

Required Qualifications, Capabilities and skills :

•  Master’s Degree or PhD, preferably in computer science, statistics, or other quantitative fields
• 2+ years relevant experience preferably in the Financial domain. Expertise in data mining, quantitative research techniques, theories, principles, and practices. Understanding of statistics, optimization and machine learning methodologies
• Experience in : SQL; Python; AWS or other cloud infrastructure;
• Working with relational and non-relational databases; ML techniques including: regression, classification, time series, clustering, deep learning, hypothesis testing, cross validation, feature selection and feature extraction; NLP techniques including: topic modeling, entity extraction, summarization, and sentiment analysis;
• Working with machine learning and natural language processing libraries such as: scikit-learn, tensor flow, keras, numpy, pandas, CoreNLP, spacY, nltk, pyTorch, NetworkX, or genism; and Building data pipelines and deploying ML models and data visualization techniques. 
• Analytical thought leader - You can define the analytical agenda for projects, frame ambiguous business questions into analytical plans (e.g., assess data needs, source files, prepare data, create new features, evaluate quality, etc.), and execute.
• Leadership - Primary focus of building something of significance. Willingness to roll up sleeves and do whatever it takes

About Us

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 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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the “WELL Health-Safety Rating” for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.

As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm’s current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm’s vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.

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, discretionary incentive compensation which may be 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.