Quant Analytics Senior Associate – Are you passionate about building your career in Quant Analytics and AI then JPMorgan Chase is hiring the Quant Analytics Senior Associate for its fast growing team. This is a full time opportunity and based in Bengaluru, Mumbai, Hyderabad and offering The Good CTC. Explore the complete article and follow our LinkedIn page for further insights.
- About the JPMorganChase company
- Job Highlights for Quant Analytics Senior Associate
- Job Description for Quant Analytics Senior Associate
- Desired Skill for Quant Analytics Senior Associate
- Mandatory Qualifications, capabilities and skills for Quant Analytics Senior Associate
- Education
- Skills for Quant Analytics Senior Associate
About the JPMorganChase company
JPMorganChase is one of the oldest financial institutions, offering 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. The history expanded over 200 years and today they are leading in investment banking, consumers and small business banking, commercial banking, financial transition processing and asset management.
They know that potential in their people is their strength and with these factors they bring to our global workforce are directly linked to our success. We treat everyone fairly and do not discriminate based on your background, identity, or personal characteristics. Whether it is your race, gender, age, religion, or disability, everyone gets an equal opportunity here. We also support our team by making workplace adjustments for religious beliefs as well as physical and mental health needs, fully following all laws that protect your rights.
- Role : Quant Analytics Senior Associate
- Location : Bengaluru, Mumbai, Hyderabad
- Employee Type : Full Time , Permanent
- Department : Finance & Management
- Experience : 6+ Years
- CTC – Not Mentioned
- Link to Apply – JPMorganChase – Quant Analytics Senior Associate
Job Highlights for Quant Analytics Senior Associate
- BE/BTech, MCA/BCA, Computer Science related qualification from a well-known institute.
- We sometimes use artificial intelligence tools during recruitment to assess applications, scan CVs, and score applicant answers.
- Applicants should have a minimum of six years of directly related professional experience to qualify for this role.
- An ideal candidate possesses a strong foundation in financial analysis, core accounting principles, and advanced quantitative finance concepts.
- Candidates having the opportunity to work closely with functional partners across the firm including other business managers, product, finance, business control, legal, risk and compliance. Candidates must be focused on defining, refining and delivering set goals for pricing business and responsibilities for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objective.
- Join the team to sharpen diverse talent to transform business outcomes through data governance, strategy, reporting and advanced analytics.
Job Description for Quant Analytics Senior Associate
- Collaborate directly with stakeholders to gather missing details, reconcile data discrepancies, and align on quantitative methodologies.
- Applicants must deliver effective quantitative problem solving and analytical research for key pricing initiatives.
- Candidates must know how to apply a deep understanding of business data analytical techniques to research and experimentation.
- Candidates must have the quality to lead, mentor, hire and develop a high performing team of analytics professionals, promoting scientific rigor, ethical AI and continuous learning.
- Applicants must know to maintain a pragmatic approach to GenAI/LLMs as complementary tools, prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreams.
- To drive impactful results, partner with cross-functional teams, including finance and marketing.
- To optimize outcomes design and implement scalable and reliable data analytics processes.
- Using advanced research and quantitative techniques conduct extensive analysis of pricing functionality, settings and customer behaviour to improve strategies and policies.
- To quantify statistical and practical significance own and support strategic pricing initiatives, including evaluating effectiveness and performing profit and loss analysis.
- Using multiple analytics and statistical techniques candidates solve unstructured business problems and develop deep-dive analysis of customer behaviour.
- To measure the impact and effectiveness of pricing strategies conduct hypothesis testing and advanced experimental design, including A?B and multivariate tests.
Desired Skill for Quant Analytics Senior Associate
- University degree (Bachelor’s or Master’s) in a highly quantitative field, such as Mathematics, Statistics, Computer Science, Economics, Quantitative Finance, Data Analytics, or Machine Learning.
- Minimum of six years of practical experience driving strategic analytics within the banking or financial services sector.
- Advanced, hands-on mastery of Python and SQL, alongside deployment experience with enterprise data prep and BI tools like Alteryx and Tableau.
- Direct experience integrating machine learning frameworks into analytics workflows and data visualization pipelines.
- Proficient programming skills in statistical computing environments using Python, R, or SAS.
- Deep foundation in econometrics and statistics, with proven success in pricing optimization, price elasticity modeling, and causal inference.
- Practical expertise in modern experimentation methodologies, including multivariate testing and advanced A/B framework design.
- Practical familiarity with core predictive modeling techniques, including supervised/semi-supervised learning, clustering, anomaly detection, feature engineering, and handling highly imbalanced datasets.
- Strong track record of optimizing business operations through analytics transformation, enterprise AI tools, and LLM-driven workflows.
- Ability to identify and implement generative AI and automated solutions to streamline code documentation, knowledge retrieval, and internal process efficiencies.
- Superior communication skills, with a proven ability to translate complex quantitative models and statistical findings into clear business insights for executive leadership.
Mandatory Qualifications, capabilities and skills for Quant Analytics Senior Associate
- High proficiency in designing scalable ETL pipelines optimized for extracting and transforming both structured and unstructured big data.
- Solid grasp of corporate IT architecture and database administration, with the communication skills needed to collaborate directly with data custodians and asset owners.
- Hands-on exposure to analytics transformation initiatives, including the integration of enterprise AI tools, ChatGPT, and LLM-assisted development workflows.
- Active utilization of Agile collaboration platforms and knowledge-sharing ecosystems like Confluence.
- Proven capability to lead analytics teams by managing talent acquisition, delivering constructive coaching, overseeing performance reviews, and cultivating a high-accountability, inclusive environment.
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Education
- UG: Any Graduate
- PG: Any Postgraduate
Skills for Quant Analytics Senior Associate
- Business Management
- Artificial Intelligence
- Databases
- IT processes
- AWS
- ChatGPT
- Finance
- Marketing
- Financial management
- Python
- SQL
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