Quant Analytics Lead - ML & Data Analytics
Mumbai, Maharashtra, India
JPMorgan Chase & Co.
Do you dream in petabytes? Are you constantly identifying new ways to leverage data to solve unknown problems and answer unasked questions? Would you like to be part of a team that seeks the stories in data that illuminate big investments that will best serve and delight clients? JPMorgan Chase needs curious, passionate data scientists to drive the transformation of data into insights that identify "aha!" moments and enable business breakthroughs.
As a Quant Analytics Lead, in the ML Intelligence Analytics organization, you will utilize data analytics and programming skills to assist and contribute to optimizing Chase’s machine learning products, while providing insight of the results that were found in the analysis. The role is hybrid manager & hands-on role so we’re looking for exceptionally creative, ambitious, "data curious" thinkers who can help extract true business value from the data. From a managerial perspective you will lead a small team of analysts to leverage Chase’s knowledge management repository (Chase Answers) to help assisting employees to solve more complex problems and discovery opportunities for customers to self-service information on the repository of information. As a team manager you will also have responsibilities to oversee all MLIO analytics team members in India that support Conversational Insights, Channel Personalization, Real time analytics & agent assistant (Evee).
Job Responsibilities:
- Support & lead partnerships with key Ops stakeholders and Ops Product groups focusing on MLIO Knowledge Management with strong understanding of business drivers, underlying data and processes.
- Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, leadership teams and business partners in regularly scheduled analytics meetings.
- Transform data, reporting, analysis into insight that improves the existing operational processes & applications that impact thousands of front-line specialist.
- Build a suite of reports that allows Leadership and front-line employees to quickly see relevant pipeline, productivity, and scorecard metrics associated with Knowledge Management usage and tracking.
- Develop roadmap of advanced analytics initiatives to support achievement within multiple lead channels (focused on agent facing applications & their knowledge management repositories).
- Create behavioral analytics to understand the specialist and personalize their experience.
- Identifying, testing and deploying new data types that can give insights and enhance existing prediction capabilities to provide analytically recommendations that align to core objective.
- Proactively investigate issues and problems in both model building and production phases and document KPI, PoC, workflow, and data sources in clear and concise way.
- Strong coding and heavy lifting in writing and maintaining Alteryx, SQL, Tableau and Python code.
- Manage a direct team of 2-3 analysts and oversee additional 2-3 analysts who are supporting other functions.
Required qualifications, skills and capabilities:
- Bachelor’s/Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
- 15+ years of experience in applying statistical methods to real world problems using SQL and at least one of the following analytical tools: Alteryx, Python, and Tableau
- Experience with visualization techniques for data analysis and presentation
- Strong Mathematical/statistical skills by using Alteryx/Python/SQL/Tableau
- Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives
- Knowledge of advanced statistical techniques and concepts or methodologies: Linear/logistic regression, statistical models, clustering, decision tree and experience in statistical and data mining techniques: GLM , Random Forest, Boosting, text mining, NLP, etc..
- Leadership: Mentor and coach a small group of 6 FTEs & drive and able to help in identifying and onboarding talents across industry, mentor newer team members and identify growth opportunities for existing team members
Preferred qualifications, skills and capabilities
- Experience using cloud services: Azure or AWS etc.
- Experience in Financial Services or like industry desired
- Candidate should be able to crisply synthesize data into actionable insights for executive leadership.
- Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
- Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
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. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Banking Big Data Clustering Consulting Consulting firm Data analysis Data Analytics Data Mining Economics Engineering Finance Machine Learning Mathematics NLP Physics Python Scrum SQL Statistics Tableau Testing
Perks/benefits: Career development Startup environment
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