quantitative researcher

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
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<p>Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.
</p><p>As a Quantitative Researcher in Wholesale Credit Risk Modeling team, , you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.
</p><p></p><p>Job Responsibilities
</p><ul><li>Develop wholesale credit risk measurement models for portfolios such as Commercial Real Estate loans and structured product vehicles
</li><li>Build credit loss models supporting the bank's Current Expected Credit Loss estimation
</li><li>Develop stress testing models supporting Comprehensive Capital Analysis and Review processes
</li><li>Create scorecard and modeling approaches to measure credit risk for Commercial Real Estate clients
</li><li>Assess model performance, limitations, and use appropriateness to identify and monitor model risk
</li><li>Design efficient numerical methods to support model estimation, calibration, and validation
</li><li>Implement high-performance computing solutions to improve model runtime and scalability
</li><li>Build reusable analytics software frameworks and integrate model outputs into downstream systems
</li><li>Analyze large, real-world datasets to derive insights that improve model accuracy and stability
</li><li>Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions
</li><li>Communicate methodology, results, and limitations clearly to model governance committees and regulators
</li></ul><p></p><p>Required Qualifications, Capabilities, and Skills
</p><ul><li>Master's degree or higher in a quantitative discipline (for example: mathematics, physics, statistics, economics, finance, or computer science)
</li><li>3 years of experience developing statistical and/or economic models in a financial services or risk context
</li><li>3 years of experience applying regression and multivariate statistical techniques to real-world datasets
</li><li>3 years of hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
</li><li>2 years of experience working with machine learning techniques in model development or analytics workflows
</li><li>Demonstrated experience working with large datasets and building repeatable data pipelines for modeling
</li><li>Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
</li><li>Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language
</li><li>Proven ability to collaborate across functions and translate business needs into quantitative solutions
</li><li>Strong attention to detail, with a disciplined approach to testing, documentation, and controls
</li><li>Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment
</li></ul><p></p><p>Preferred Qualifications, Capabilities, and Skills
</p><ul><li>Doctorate in a quantitative discipline (for example: mathematics, physics, statistics, economics or finance)
</li><li>Experience developing wholesale credit risk models for Basel, Comprehensive Capital Analysis and Review, or Current Expected Credit Losses exercises
</li><li>Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration
</li><li>Experience with Linux or Unix environments for research and production workflows
</li><li>Familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
</li><li>Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
</li><li>Knowledge of graph or network analytics for counterparty or contagion risk modeling
</li></ul><p></p><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, 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.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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.
</p><div><p>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.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
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J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Risk Management - Wholesale Quantitative Research, Associate

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Citi is looking for a Quantitative Analyst to join the Markets Quantitative Analytics team, building and deploying cutting-edge analytics, models, and tools for the Flow Equity Derivatives business across Index, Single Stock, and Convertible Bond desks in North America. In this role, you will work at the intersection of quantitative research and live trading, developing solutions that directly shape how Citi prices, quotes, and hedges equity derivatives in real time. If you are driven by innovation and want to see your work make an immediate impact on a high-performance trading desk, this is the opportunity for you.</p>
<p></p><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<ul><li>Build quantitative libraries and analytics tools that support real-time pricing and risk management for flow equity derivatives products.</li>
<li>Develop and maintain models for volatility surface construction, volatility event prediction, and options bid-offer and dividend fitting algorithms.</li>
<li>Design and implement auto-quoting and robo-hedging strategies that improve the speed and consistency of the trading desk's execution.</li>
<li>Apply machine learning techniques, including reinforcement learning, statistical modelling, and numerical optimization to solve complex quantitative problems.</li>
<li>Collaborate directly with traders and technology teams to translate business requirements into robust, production-ready quantitative solutions.</li>
<li>Adhere to rigorous software development standards across the full model development lifecycle, from research and validation through to deployment of approved models in production.</li>
<li>Partner with Legal, Compliance, Risk, Audit, and Finance functions to ensure models meet governance and control requirements.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications &amp; Skills</b></h2>
<ul><li>Up to 3 years of experience in a quantitative modelling or analytics role, or an equivalent strong academic background in a quantitative discipline.</li>
<li>Proficiency in Python, used to build and deliver quantitative models and analytics in a structured development environment.</li>
<li>Programming skills in C++, applied to performance-sensitive quantitative work.</li>
<li>Working knowledge of mathematical finance, including the ability to implement and interpret models for options and derivatives pricing.</li>
<li>Practical ability to apply statistical and machine learning techniques to data analysis and time-series modelling problems.</li>
<li>Familiarity with numerical methods and optimization, applied to model calibration or algorithm design.</li>
<li>Foundational knowledge of flow equity derivatives products, including American and European options, Variance Swaps, and VIX Futures and Options.</li>
<li>Clear and effective communication skills, with the ability to articulate quantitative concepts to traders, technologists, and control functions.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Beneficial Skills &amp; Qualifications</b></h2>
<ul><li>A Master's degree in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.</li>
<li>Hands-on experience applying reinforcement learning techniques to quantitative finance or trading strategy problems.</li>
<li>Familiarity with software design principles and best practices, particularly in the context of building maintainable quantitative libraries.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p></p><p>Joining Citi's Markets Quantitative Analytics team means working on problems that matter, alongside experienced practitioners on one of the most active equity derivatives businesses in North America. From day one, you will have genuine exposure to live trading activity and the opportunity to contribute to a collaborative, performance-driven environment focused on technical excellence and continuous development.</p>
<ul><li>Direct collaboration with trading professionals on the Index, Single Stock, and Convertible Bond desks, giving your work immediate real-world context and impact.</li>
<li>Access to MQA Connect, a community and programme focused on professional development, knowledge sharing, and career growth within the quantitative analytics function.</li>
<li>Exposure to the full model development lifecycle in a highly regulated environment, building expertise that is directly transferable across quantitative finance roles.</li>
<li>Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong desk-level collaboration.</li>
<li>A defined path for technical and career development within a global markets organisation, with access to mentorship and cross-functional learning opportunities.</li>
<li>A role that grows with you, offering increasing scope and responsibility as you develop expertise in equity derivatives quantitative analysis.</li>
</ul><p></p><p>Apply now to bring your quantitative expertise to one of the most technically ambitious flow equity derivatives teams in the market and see your models deployed in a live trading environment from day one.</p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Risk Management
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Model Development and Analytics
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$109 120,00 - $163 680,00<br>
<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
</p><p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
ago 21, 2026
<p>-</p>
<h2 class="jobSectionHeader"><b>Automated Processing and AI</b></h2><br>
<br>
<p>We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.</p>
<p></p><p>Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.</p>
<p></p><p>Illinois residents &ndash; AI Notice and Right</p>
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

AVP Quantitative Analyst – Flow Equity Derivatives

Freddie Mac

<div><p>At Freddie Mac, our mission of Making Home Possible is what motivates us, and it&rsquo;s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.</p><p></p><h2 class="jobSectionHeader"><b>
Position Overview:</b></h2><p></p><p>
This is a two-year, full-time rotational program crafted to provide analysts with a broad spectrum of quantitative and technical experience working across multiple capital markets desks. The primary objective of this program is to develop modelers, desk quants and mortgage analytic practitioners through real-world training experiences spanning the entire mortgage capital markets life cycle. Analysts will accelerate their professional growth by working alongside best-in-class professionals in quant-focused rotations while also learning about and developing skills on fixed income trading desks.</p><p></p><p>
The Quantitative Track of the Portfolio Management &amp; Capital Markets Analyst Program is seeking candidates with quantitative skills (i.e., mathematics/statistics/engineering/computer science, some level of programming skills, and other related STEM skills), with interest in fixed income and finance, having experience as a plus. Quantitative Track Analysts will rotate among quantitative-focused capital markets and credit portfolio teams and develop experience working with large data sets, performing complex quantitative analysis, and building programs using coding languages including, but not limited to, Python, SQL, R, SAS, and. Some of the rotations offered include:</p><p></p><ul><li><p>
Demonstrating big data techniques with Prepayment Modeling to predict borrower behavior.</p></li><li><p>
Supporting Credit Risk Transfer desk in analytics related to Freddie Mac portfolio of loans.</p></li><li><p>
Modeling impacts of proposed products, pricing adjustments, or changes to our capital structure.</p></li><li><p>
Supporting the innovative business pricing decisions based on market behaviors and analyzing, mitigating, and clearly defining credit and prepayment risk.</p></li><li><p>
Using corporate models to analyze key credit portfolio/new funding risk and return tradeoffs.</p></li><li><p>
Working on quantitative analysis to understand performance of credit portfolio and new fundings.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our Impact:</b></h2><p></p><p>
Freddie Mac is responsible for handling the ~$3.4 trillion mortgage guarantee and investment portfolios through secondary mortgage market activities such as asset-liability management, loan purchases, servicing transactions, securitization, debt issuance and credit risk transfer.</p><p></p><p>
You'll be part of a team that is intellectually curious, creative, analytical, and passionate about markets, managing risk and adding value to the overall firm. We provide the cash flow, financing, trading and capital market expertise that allows the company to achieve its stated mission of providing liquidity to the house market and making home possible.</p><p></p><h2 class="jobSectionHeader"><b>
Your Impact:</b></h2><p></p><p>
In this position, you will develop analytical tools and models while applying statistical techniques to large data sets to enhance decision making. You will gain diverse perspectives working across desks; on one desk you may support and complete a structured credit transaction, while on another, you may apply data science techniques to identify MBS market trends. You&rsquo;ll work on a variety of assignments, each presenting challenges and scope, and you are expected to ask questions, take initiative, and produce quality work that contributes to our team&rsquo;s success. Throughout your rotations, you will pick up real-world experience, enabling you to bring different, educated viewpoints to desks that embrace your knowledge and expertise. We guarantee a comprehensive rotation experience with both quant and market facing desks.</p><p></p><p>
Through these rotations, analysts will build the following proficiencies and opportunities:</p><p></p><ul><li><p>
Fixed income valuation and financial transaction analysis.</p></li><li><p>
Expertise in the U.S. Economy.</p></li><li><p>
Knowledge of primary and secondary mortgage financial systems.</p></li><li><p>
Advanced quantitative abilities (e.g., Advanced Excel, SQL, SAS, Python, R).</p></li><li><p>
Professional networking skills and opportunities within the company and industry.</p></li><li><p>
Mentorships to help guide your career.</p></li><li><p>
Social community of analysts.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Qualifications:</b></h2><p></p><ul><li><p>
Quantitative skills (i.e., math, statistics, and/or programming) demonstrated through coursework and/or internships. Experience with Python, R, SQL, SAS, and/or machine learning packages is preferred.</p></li><li><p>
Bachelor&rsquo;s degree, preferably but not only in Economics, Finance, Business, Engineering, Mathematics, or Statistics. Also preferred quantitative knowledge and experience in computer and data science, physics, and econometrics.</p></li><li><p>
Availability to begin full-time employment in January 2027 or June 2027, following Fall 2026 or Spring 2027 graduation, respectively.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Keys to Success in this Role:</b></h2><p></p><ul><li><p>
Ability to demonstrate adaptability and teachability to learn quickly and pick up new skills/concepts</p></li><li><p>
Exceptional communication skills, both written and verbal</p></li><li><p>
Strong problem-solving ability</p></li><li><p>
Microsoft Office skills required</p></li><li><p>
Basic coding skills required; Additional quantitative skills preferred</p></li></ul><p></p><p>
At the conclusion of the rotation period, analysts are encouraged to apply for a full-time position within the company. The standard internal apply-process is required, and guidance for securing a full-time opportunity will be provided. Employment opportunities post-rotational program are not guaranteed and subject to business needs, performance evaluations, and available positions.</p><p></p><ul><li><p>
Must be a great teammate and able to work collaboratively</p></li><li><p>
Comfortable working in a fast-paced trading floor environment</p></li><li><p>
Attention to detail, exercise sound judgment and can handle sensitive information with discretion</p></li><li><p>
Remain aware of industry-related news and analyze the implications of news/industry developments</p></li><li><p>
Apply a learning mindset and take ownership for your development.</p></li><li><p>
Exposure to AI tools, bots, agents, prompt engineering, or automation technologies.</p></li></ul><p></p><p><b>
Current Freddie Mac employees please apply through the internal career site.</b></p><p></p><p>
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p><p></p><p>
A safe and secure environment is critical to Freddie Mac&rsquo;s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy &amp; security obligations as required via training programs.</p><p></p><p><b>
CA Applicants: </b>Qualified applications with arrest or conviction records will be considered for employment in accordance with the <i>Los Angeles County Fair Chance Ordinance </i>for Employers and the <i>California Fair Chance Act.</i></p><p></p><p>
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.</p><p></p>
Time-type:Full time<p></p>
FLSA Status:Non-Exempt<p></p><p>
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
</p><p></p>This position has an annualized market-based salary range of $63,000 - $95,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.</div>

Capital Markets Analyst - Quantitative

Intercontinental Exchange

<div>Overview:
<p><b>
Job Purpose</b></p><p>
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Learn, research, implement and maintain pricing models across fixed income asset classes</li><li>
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources</li><li>
Investigating Ad hoc issues and debugging pricing applications</li></ul><p></p><p><b><br>
Knowledge and Experience</b></p><ul><li>
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred</li><li>
3+ years of experience doing quantitative analysis</li><li>
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R</li><li>
Experience using AI &amp; ML techniques to solve complex multi-dimensional problems preferred</li><li>
An understanding of fixed income instruments</li><li>
Strong communications skills</li></ul><p></p><div><p><b><br>
New York Base Salary Range</b></p></div><div><p>
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 USD. The base salary range does not include Intercontinental Exchange&rsquo;s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.</p></div>
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.</div>

Lead Data Scientist

Shariq Enterprises Proprietor

<p><b>Abou US:</b><br/><b>Shariq Enterprises</b> is a digital solutions company helping brands grow through E commerce, Marketing, Web Development and AI Automation. We build smart, scalable systems that boost business efficiency and results<b>.</b></p><p><b>Job description:</b><br/><b>Shariq Enterprises</b> is seeking askilled and analytical Amazon Product Researcher to discover high potential products for Online Arbitrage (OA), and Wholesale FBA models.</p><p><b>Key Responsibilities:</b></p><ul><li>Conduct detailed product research across Amazon/ walmart marketplaces.</li><li>Identify profitable products for OA and Wholesale models.</li><li>Analyze product trends, competition, sales rank and pricing history.</li><li>Evaluate profit margins, ROI, and sourcing options.</li><li>Prepare detailed product sheets and reports.</li><li>Coordinate with sourcing, listing, and operations teams.</li></ul><p><b>Requirements:</b></p><ul><li>Minimum 6 Month of experience in Amazon product research.</li><li>Strong understanding of Amazon business models (OA, FBA, Wholesale).</li><li>Proficient in research tools.</li></ul><p><b>Details</b></p><ul><li>Basic Salary + Allowance.</li><li>Career growth opportunities within a growing e-commerce team.</li><li>Location: DHA Phase 5</li></ul><p>Write &quot;Product Researcher&quot; in your email subject line.</p><p>Drop your resume at: careers@shariqenterprises.com</p><p>Pay: Rs30,000.00 - Rs50,000.00 per month</p><p>Work Location: In person</p>

Amazon Product Researcher

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div><div><p>Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
</p></div><p></p><div><p>As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
</p></div><p></p><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li>Architect and develop GenAI and agentic solutions to automate complex operational processes
</li></ul></div><div><ul><li>Assist Lines of Business and teams to directly solve priority use cases within the domain
</li></ul></div><div><ul><li>Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
</li></ul></div><div><ul><li>Design and build services and libraries that AI teams want to use
</li></ul></div><div><ul><li>Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
</li></ul></div><div><ul><li>Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
</li></ul></div><div><ul><li>Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
</li></ul></div></div><p></p><div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li>PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or<b> </b>MS in Computer Science or a related field with 12+ years of relevant experience
</li></ul></div><div><ul><li>Research experience or work in a top commercial AI research lab
</li></ul></div><div><ul><li>Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
</li></ul></div><div><ul><li>Proven track record of deploying AI/ML applications in a production environment at scale
</li></ul></div><div><ul><li>Familiarity with distributed computing patterns for training, serving, and persistence of state
</li></ul></div><div><ul><li>Experience integrating user feedback to establish agentic refinement and self-improving AI applications
</li></ul></div><div><ul><li>Experience in building and leading high-performing AI teams
</li></ul></div><p></p><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li>Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
</li></ul><p></p><p>FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.</p>
<p>#LI-RB1</p>
<p>#CIBAppliedAI</p>
</div></div><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, 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.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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.
</p><div><p>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.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
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J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Researcher Director

Techbridge Consultancy Services

<p><b>Location: </b>Onsite - Siddiq Trade Center, Gulberg<br/><b>Working Days:</b> Monday to Friday<br/><b>Salary:</b> 40,000 to 50,000<br/><b>Timings:</b> 5:00 PM to 2 AM</p><p><b>About the Role</b></p><p>We are looking for a motivated and experienced eBay Store Manager / Product Researcher to join our growing eCommerce team. The ideal candidate should have 1&ndash;2 years of hands-on eBay experience and be capable of managing day-to-day store operations while identifying profitable products and optimizing listings.</p><p><b>Responsibilities</b></p><p>* Manage and maintain the eBay store.</p><p>* Research profitable products and market trends.</p><p>* Create and optimize eBay listings.</p><p>* Monitor pricing and competitor activity.</p><p>* Process and manage customer orders.</p><p>* Handle customer messages and resolve issues professionally.</p><p>* Track inventory and ensure listings remain accurate.</p><p>* Improve store performance, sales, and account health.</p><p>* Work with the team to identify new growth opportunities.</p><p><b>Requirements</b></p><p>* 1 to 2 years of experience managing an eBay store.</p><p>* Strong product research skills.</p><p>* Experience with listing creation and SEO optimization.</p><p>* Knowledge of eBay policies and best practices.</p><p>* Good written and verbal English communication skills.</p><p>* Ability to work independently and meet deadlines.</p><p>* Familiarity with Microsoft Excel or Google Sheets.</p><p>Application Question(s):</p><ul><li>Are you from Lahore? (Yes/No)</li><li>How many years of experience do you have managing an eBay store?</li><li>Are you available to work Monday to Friday, 5:00 PM to 2:00 AM?</li></ul><p>Work Location: In person</p>

E-commerce Store Assistant & Product Research Specialist

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