Private Bank: Client Data Science - Analyst

Key Skills

Algorithms, Analytical and Problem solving, Data Analytics, Data science techniques, Effective communication skills, Google-Analytics, Logistic Regression, Machine learning techniques, NumPy, Pandas, PySpark, Python Programming, Scikit-learn, SQL, TensorFlow

Job Description

You are a strategic thinker passionate about driving solutions using analytical skills. You have found the right team.

As a professional in our Business Intelligence and Advanced Analytics team you will spend each day defining, refining and delivering set goals for our firm

Job responsibilities

• Partnering with business stakeholders to identify opportunities for leveraging advanced analytics
• Embed analytics process in organizational decision making: descriptive, diagnostic and predictive and prescriptive analytics to derive better business outcomes
• Building analytical frameworks for marketing measurement – A/B testing, campaign ROI(return on investment) , cost of acquisition modeling, lifetime value, etc.
• In-depth data exploration and data mining to develop a deep understanding of client behavior
• Contributing to and enhancing data models and feature stores. Leveraging machine learning models and techniques to target opportunities and optimize processes
• Developing tools and solutions to measure model performance over time and fostering a data-driven, innovative culture
• Acting as a proxy product-owner and consultant to provide optimal data solutions for various business problem statements / pain-points and goals

Required qualifications, capabilities, and skills

• MBA or advanced degree in Statistics, Math, Engineering or other quantitative-focused field preferred
• Experience in an analytics role, financial services/marketing preferred
• Experience using computer languages (Python, Pyspark, Google Analytics, etc.) to manipulate and analyze large datasets. Story-telling acumen using Tableau, power-point etc. tools
• Sound knowledge of SQL to collate data from various sources
• Experience using machine learning libraries in Python (Numpy, Pandas, Sci-kit learn, tensorflow, etc.)
• Knowledge of variety of machine learning algorithms (linear regression, logistic regression, SVMs, Tree-based models, neural networks, etc.) and techniques (cross validation, feature selection approaches, hyper parameter optimization, missing data imputation etc.)
• Strong problem-solving skills and excellent communicator (written and verbal) with strong interpersonal skills

Preferred qualifications, capabilities, and skills

• Understanding of Private Banking / Wealth Management Business. A passion for technology, financial services and Asset / Wealth management
• A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity. Excellent communication skills with a knack of converting data into stories
• Ability to multi-task and understand priorities/workflows. Self-motivated, team player with strong work ethic
• Ability to build relationships across global teams

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.