
Global financial services firm
Quant Analytics Senior Associate
Join a team that unifies diverse talent to transform business outcomes through data governance, strategy, reporting, and advanced analytics.
As a Quant Analytics Senior Associate within the Consumer & Community Banking Data & Analytics team, you will work closely with functional partners across the firm, including other Business Managers, Product, Finance, Business Control, Legal, Risk and Compliance. You will be focused on defining, refining and delivering set goals for pricing business and responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objective.
Job Responsibilities
- Deliver effective quantitative problem solving and analytical research for key pricing initiatives
- Apply deep understanding of business and data analytical techniques to research and experimentation
- Lead, mentor, hire, and develop a high-performing team of analytics professionals, promoting scientific rigor, ethical AI, and continuous learning
- Maintain a pragmatic approach to GenAI/LLMs as complementary tools, prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreams
- Partner with cross-functional teams, including Finance and Marketing, to drive impactful results
- Design and implement scalable and reliable data analytics processes to optimize business outcomes
- Conduct extensive analysis of pricing functionality, settings, and customer behavior to improve strategies and policies using advanced research and quantitative techniques
- Own and support strategic pricing initiatives, including evaluating effectiveness and performing profit & loss analysis to quantify statistical and practical significance
- Solve unstructured business problems and develop deep-dive analysis of customer behavior using multiple analytics and statistical techniques
- Conduct hypothesis testing and advanced experimental design, including A/B and multivariate tests, to measure the impact and effectiveness of pricing strategies
Required Qualifications, Capabilities, and Skills
- Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning
- 6+ years of hands-on analytics experience in banking strategic analytics along with Python, SQL and visualization tool including Tableau & Alteryx.
- Hands on experience in Python, SQL and visualization tool including Tableau with machine learning frameworks
- Strong statistical and econometric foundation with hands-on experience in pricing analytics, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks
- Solid skills in advanced analytics with SAS, Python, or R language
- Excellent communication skills to translate and explain complex models with clear reason codes, influencing cross-functional stakeholders and senior leadership
- Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs
- Ability to evaluate opportunities to apply AI, GenAI, or intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency
- Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration/threshold optimization, imbalanced learning, and pricing sensitivity evaluation
Preferred qualifications, capabilities, and skills
- Proficient in big data ETL processes for structured and unstructured databases
- Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake
- Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.
- People leadership: recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.
- Good understanding of IT processes and databases, with ability to work directly with data owners and custodians
ABOUT US
JPMorgan Chase, 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.
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
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JPMorgan Chaseについて

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
4.0
企業文化
3.8
キャリア
3.2
経営陣
2.8
68%
知人への推奨率
良い点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
給与レンジ
44件のデータ
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2件のレポート
$188,500
年収総額
基本給
$145,000
ストック
-
ボーナス
-
$182,000
$195,000
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
体験
ポジティブ 25%
普通 75%
ネガティブ 0%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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