quantitative research analyst

JPMorganChase

<div>JOB DESCRIPTION 
Join a high-impact team shaping the future of investment analytics and suitability risk management. Leverage your quantitative expertise to develop innovative models and analytical frameworks. Be part of a collaborative environment where your insights directly influence investment decisions.
As a Quantitative Research Analyst within the Investment Solutions Data, Analytics &amp; Modeling team, you will develop and enhance analytical tools to estimate investment risk and product suitability. You will collaborate with global partners to implement model improvements and ensure robust governance and performance monitoring. Your work will drive data-driven decision-making and support the evolution of next-generation investment/suitability models. 
 
Job Responsibilities:
<ul><li>Collaborate with a team of quantitative researchers to develop analytical tools to estimate Investment Risk and evaluate suitability of the product for the clients.
</li><li>Propose model enhancements and demonstrate its conceptual soundness via rigorous back-testing.
</li><li>Partner with Technology to design and implement cost-effective model changes, and conduct implementation testing,
</li><li>Onboard new product categories.</li><li>
Update market data and recalibrate models regularly ; liaise with Governance teams to secure necessary approvals.</li><li>
Monitor model performance on a routine basis.</li><li>
Conduct ad-hoc quantitative research and analyses.</li><li>
Manage multiple priorities in a dynamic professional environment.</li></ul>
 Required qualifications, capabilities, and skills:
<ul><li>Demonstrate 1+ years of experience in portfolio risk analytics and asset management.</li><li>
Apply strong quantitative modeling and time series analysis skills.</li><li>
Exhibit knowledge of equity, fixed income, and alternative investment products.</li><li>
Hold a graduate degree in a quantitative discipline such as Math, Statistics, Finance, Economics, or Engineering.</li><li>
Utilize programming skills in Python and SQL, with a willingness to learn new tools.</li><li>
Manage financial data handling, retrieval, and modeling tasks effectively.</li><li>
Communicate complex concepts clearly in both written and verbal formats.</li></ul>
Preferred qualifications, capabilities, and skills:
<ul><li>Attain CFA or FRM certification at any level.</li><li>
Employ R language skills for quantitative analysis.</li><li>
Adapt quickly to new analytical tools and technologies.</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Quantitative Research Analyst - Investment Solutions

Kantar

<div>
 
 
 
 Job Details
 
 
 
 
 
 
 
 The Junior Research Executive plays a key role in supporting
 
 quantitative market research projects
 
 across diverse sectors. This entry-level position is ideal for individuals looking to build a career in research and analytics. The role focuses on data-driven insights, requiring strong numerical skills and attention to detail. Working under guidance, you will assist in managing research processes, analysing datasets, and delivering actionable findings that inform client decisions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Quantitative Data Analysis &amp; Reporting
 
 
 <ul>
 <li>
 Perform statistical analysis on survey data to identify trends and correlations
 </li>
 <li>
 Use tools such as SPSS and Excel to clean, process, and interpret large datasets
 </li>
 <li>
 Prepare clear, concise reports and visualisations that communicate quantitative findings
 </li>
 </ul>
 
 
 
 
 
 Project Support
 
 
 <ul>
 <li>
 Assist in the execution of end-to-end
 
 quantitative research projects
 
 </li>
 <li>
 Coordinate with internal teams (fieldwork, data processing, analytics) and external vendors
 </li>
 <li>
 Ensure accuracy and timeliness in data collection and reporting
 </li>
 </ul>
 
 
 
 
 
 Research
 
 
 <ul>
 <li>
 Support the development of survey questionnaires and sampling plans
 </li>
 <li>
 Monitor fieldwork progress to maintain data integrity
 </li>
 <li>
 Apply quantitative methodologies to meet client objectives
 </li>
 </ul>
 
 
 
 
 
 Client Engagement
 
 
 <ul>
 <li>
 Contribute to client presentations by highlighting key numerical insights
 </li>
 <li>
 Respond to client queries with data-backed answers
 </li>
 <li>
 Build understanding of client needs to deliver relevant quantitative solutions
 </li>
 </ul>
 
 
 
 
 
 Market &amp; Industry Knowledge
 
 
 <ul>
 <li>
 Stay informed on industry trends and emerging quantitative techniques
 </li>
 <li>
 Apply market knowledge to strengthen research recommendations
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Statistics, Economics, Mathematics, Marketing Analytics, or related field
 </li>
 <li>
 
 Experience:
 
 0&ndash;2 years in market research or data analysis (internships welcome)
 </li>
 <li>
 
 Technical Skills:
 
 Proficiency in SPSS, Excel, and survey platforms; familiarity with data visualisation tools
 </li>
 <li>
 
 Analytical Skills:
 
 Strong numerical reasoning and ability to interpret quantitative data
 </li>
 <li>
 
 Communication:
 
 Ability to present complex data in a clear, client-friendly manner
 </li>
 <li>
 
 Project Management:
 
 Organised and able to manage multiple tasks under deadlines
 </li>
 <li>
 
 Languages:
 
 English and Arabic preferred
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 
 
 
 <ul>
 <li>
 
 Attention to Detail:
 
 Accuracy in data handling and reporting
 </li>
 <li>
 
 Problem-Solving:
 
 Ability to identify patterns and propose data-driven solutions
 </li>
 <li>
 
 Adaptability:
 
 Comfortable working in a fast-paced environment
 </li>
 <li>
 
 Client-Centric:
 
 Committed to delivering actionable insights
 </li>
 </ul>
 
 
 
 
 
 Career Path &amp; Development
 
 
 
 This junior role offers a strong foundation for growth within Kantar, progressing to positions such as Senior Research Executive and Research Manager, with increasing responsibility for advanced quantitative analysis and client leadership.
 
 
 
</div>

Junior Research Executive

<div>JOB DESCRIPTION 
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
Quantitative Research Analytics manages the firm&rsquo;s pricing and risk libraries across all JP Morgan Markets front-office businesses. This Vice President (VP) role, based in Mumbai or Bengaluru, offers opportunities to work on a variety of software and high-performance computing (HPC) products supporting diverse pricing and risk systems.
As a VP within Quantitative Research, QR Analytics, you will develop and maintain advanced models and libraries for pricing and risk management across JP Morgan Markets. You will work on cutting-edge HPC concepts, leveraging recent advances in CPUs, GPUs, and compiler technologies. The role involves close collaboration with internal lines of business and external HPC vendors, including Nvidia, Intel, AMD, and AWS.
Job Responsibilities:<ul><li>
Develop in a software library that prices derivatives and calculates risks in C++/CUDA/Python, designing efficient numerical algorithms and implementing high performance computing solutions;</li><li>
Design and maintain processes and infrastructure to manage the library&rsquo;s software development lifecycle and to support the many hundreds of developers working on it;</li><li>
Maintain and support the core library frameworks and suitable library interfaces which can interact efficiently with the firm&rsquo;s risk platform;</li><li>
Build efficient algorithms leveraging vectorization and parallelization, compilers, architecture of cross-asset pricing engines and optimizing code for specific hardware, from today&rsquo;s production staples to future disruptive innovations;</li><li>
Support end users of the library and communicate with desk-aligned quant teams and technology groups;</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
You have an advanced degree in quantitative subject (such as comp science, mathematics)</li><li>
You demonstrate proficiency in code design and programming skills, with primary focus on C++, but also Python and you can also turn your hand to other tools and technologies as required.</li><li>
You&rsquo;re passionate about software design and writing high quality code;</li><li>
You demonstrate quantitative, problem solving, research and analytical skills</li><li>
You&rsquo;re interested in applying agile development practices in a front-office trading environment, including robust approaches to testing and software development lifecycle;</li><li>
You have strong interpersonal skills &ndash; you listen and communicate in a direct, succinct manner;</li><li>
You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things in collaboration with the team.</li><li>
Familiar with Cloud Technologies like AWS, Terraform</li></ul>
Preferred qualifications, capabilities and skills:<ul><li>
You bring computer programming experience such as use of C++/Python</li><li>
You demonstrate quantitative and problem-solving skills;</li><li>
You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;</li><li>
You&rsquo;re attentive to detail and easily adaptable;</li><li>
You&rsquo;re enthusiastic about knowledge sharing and collaboration;</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;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>

Quantitative Research Analytics- Vice President

Pacific Gas and Electric

Requisition ID # 169527
 
Job Category: Business Operations / Strategy
 Job Level: Individual Contributor
 Business Unit: Engineering, Planning & Strategy
 Work Type: Hybrid
 Job Location: Oakland
 
Department Overview
 The Customer Programs Measurement and Evaluation (CP M&E) team sits within Clean Energy Programs, which is part of Utility Partnerships & Innovation organization.
 As PG&E offers Load Management programs which aim at balancing load and energy supply, CP M&E conducts rigorous evaluations to estimate the impacts of the Load Management programs on the electric grid and customer experience. We analyze the programs’ operation efficiency and offer insights to improve program performance. Findings of our program evaluations also inform long-term resource planning, utility operations, and energy policies.
 Position Summary
 The Senior Quantitative Analyst will manage the evaluation of a range of customer programs, including demand response, time-varying rates, and clean energy transportation, to improve program performance and help shape California energy policies.
 This position is hybrid, working from your remote office and the Oakland General Office based on business need.
 PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint or $102k - $132k of the range. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
 Bay Area Min: $102,000
 Bay Area Mid: $132,000
 Bay Area Max: $162,000
 Job Responsibilities Lead studies to evaluate performance of PG&E’s demand-side management programs and customer experience; manage external consultants to execute the studies Provide analytical support and recommendations for energy policy Perform statistical analyses of utility customer data to inform program design and/or operations, including supporting the development of PG&E’s energy program enrollment forecast Communicate measurement and evaluation findings to internal and external stakeholders to support regulatory proceedings Interface with internal and external stakeholders to understand business and regulatory needs, define the corresponding measurement and evaluation deliverables to meet these needs, and support the integration of research findings into program design and operations Run cost effectiveness calculation for PG&E’s demand response programs
 Qualifications
 Minimum: Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business, or equivalent field 4 years related experience (i.e., data analysis and interpretation, research methods, applied statistics/econometrics, or energy program evaluation) OR Master’s Segree and 3 years job-related work experience OR Doctorate and 1 year of work experience
 Desired: Knowledge of utility operations; California load management programs and policies Excellent communication skills. Ability to convey complex or technical information clearly, concisely, and accurately to a wide range of audience Ability to influence leadership through data analysis, insights, and recommendations Demonstrated ability to apply complex statistical methods, engineering or econometric modeling using large data sets Ability to lead and manage projects and project teams; ability to scope and manage third-party consultant contracts Familiarity with Demand Response Impact Evaluation Protocols Experience in running CPUC-approved Demand Response Avoided Cost Calculator Experience reviewing and commenting on technical reports and regulatory documents Excellent problem-solving skills

Senior Quantitative Analyst

Fuse Energy

We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models. Responsibilities: <ul><li>Develop and implement models for our energy supply business using Python and other data science tools</li><li>Identify, analyze, and mitigate credit risk</li><li>Conduct data analysis and modeling to support risk management decisions</li><li>Stay current with industry developments and regulations related to credit risk management</li></ul> Requirements: <ul><li>2+ years of experience as a quantitative researcher or data scientist</li><li>Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy</li><li>Strong statistical and modeling skills</li><li>Strong communication and collaboration skills</li><li>Experience in the energy industry is a plus</li></ul> Benefits: <ul><li>Competitive salary and a stock options sign-on bonus</li><li>Biannual bonus scheme</li><li>Fully expensed tech to match your needs!</li><li>28 days paid annual leave per year including public holiday</li></ul>

Quantitative Researcher

Farm Credit East

Description/Job Summary
 Join a team focused on the success of our customers, the success of our communities, and the success of each other. Farm Credit East (FCE) is the leading provider of loans and farm advisory services to farm, forest product, fishing, and other agricultural business owners across the northeast with $14 billion in total loan volume and $29 million in annual financial services revenue from 18,000 customers across our 8-state territory. We are One Team Working Together with a focus on our five pillars: Outstanding Customer and Employee Experience, Quality Growth, Operational Excellence, Commitment to our Communities, and Protecting Customer Information.
 
The Quantitative Risk Analyst , you will be a key contributor to Farm Credit East's risk modeling, forecasting, and decision modeling efforts. The successful candidate will utilize quantitative and qualitative modeling techniques, statistical analyses, and various analytics tools to provide actionable information to aid in decision making.
 
The value drivers for this role are as follows: Strategic Modeling: Develop and maintain robust risk models and forecasts that inform decisions by the Executive Leadership Team and Board. Data-Driven Growth: Partner with business lines to leverage analytics for growth, profitability, and operational excellence. Innovation: Champion the responsible adoption of AI and machine learning in risk management and analytics processes.
 
Come join a collaborative, customer-focused team at Farm Credit East!
 
Duties and Responsibilities: 
Modeling and Forecasting Develop, document, and deploy quantitative models for credit risk and capital management (CECL, stress testing, economic capital) and automated credit decision models. Communicate complex modeling concepts clearly to technical and non-technical audiences. Work across business lines to develop and execute analytics use cases that will drive operational excellence, generate growth opportunities, and/or enhance the customer and employee experience.
 Cross-functional Collaboration Partner with risk, finance, and business operations to align modeling initiatives with strategic goals. Collaborate with business units to identify analytics use cases and opportunities for applying quantitative modeling techniques to address business challenges and opportunities. Work with the data team to ensure governance and data quality and to build data pipelines for production models.
 Model Development Lifecycle Document model development and testing in accordance with Model Risk Management guidelines. Represent model development during internal and/or external model validations and audits. Oversee the implementation and monitoring of models in production environments. Develop and implement sound change controls around production models and develop appropriate model monitoring metrics.
 Job Qualifications and Requirements: Bachelor's degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or related discipline. Advanced degree (Master’s or PhD), while not required, will be looked upon favorably. 3+ years of experience in quantitative modeling, risk analytics, or data science, with a strong background in credit risk modeling, CECL, and stress testing. Proficiency in R, Python, or SAS; experience with AI/ML techniques. Strong communication skills to translate complex concepts for diverse audiences. Ability to influence stakeholders and drive cross-functional collaboration. We offer hybrid work options after two weeks of employment with Farm Credit East. Hybrid work options are determined based on job role and balancing the needs of the customers, the team, and individual work performance. This will be reviewed based on manager discretion.
 
Compensation and Benefits: Salary Range: $75,000 to $125,000 commensurate with experience Short-Term Incentive to reward business results Retirement Contributions : 401k match up to 6% of salary; or for those unable to take full advantage of the 401(k) match, verified student loan payments may qualify for an employer match in your 401(k) up to 6% of salary Defined Contribution retirement plan funded at 2-9% of salary depending on years of service Time Off: 15-25 days of vacation leave per year, depending on years of service 12 days of holiday leave per year 7.5 days of sick leave in your first year, followed by 12 days of sick leave per year thereafter; unlimited rollover of unused sick leave year to year Paid Parental Leave: Up to 80 hours of paid leave for birthing, non-birthing, and adoptive parents Family Care Leave: Additional leave options available under FMLA and company policy Health and Insurance: Comprehensive medical, dental, and vision plans, including preventive care and wellness programs to support your overall health and well-being Health Savings Account Life insurance at 2x base pay Accidental Death and Dismemberment insurance at 2x base pay Long-term disability insurance at 2/3 base pay Additional Benefits: Tuition reimbursement Continuing education and training Employee Assistance Program offering a wide variety of tools and resources Benefits Eligibility: Eligibility Begins: First of the month following your hire date Eligible Employees: Full-time employees working 30+ hours per week; Part-Time employees working 20+ hours per week.
 
Farm Credit East is an Equal Opportunity Employer. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, marital status, parental status, political affiliation, disability status, protected veteran status, genetic information or any other status protected by federal, state or local law. It is our goal to make employment decisions that further the principle of equal employment opportunity by utilizing objective standards based upon an individual's qualifications for a specific job opening. In compliance with the Americans with Disabilities Act (“ADA”), if you have a disability and would like a reasonable accommodation in order to apply for a position with Farm Credit East, please call 1-800-562-2235 or e-mail FarmCreditCareers@farmcrediteast.com .

Quantitative Risk Analyst

<div>JOB DESCRIPTION 
The Corrections and Remediations Analytics - Center of Excellence (CoE) performs data analysis to identify customers impacted by process or operational breaks throughout the firm. This CoE supports Auto Finance, Business Banking, Consumer Banking, Credit Card, Merchant Services, and Wealth Management. Analysts benefit from unique exposure to various products and teams across J.P. Morgan Chase.
As a Quantitative Analytics Associate on the Remediation &amp; Corrections team, you will be crucial in identifying, classifying, and resolving customer impacts stemming from business process or operational disruptions at JP Morgan Chase. This role involves addressing affected customers by recalculating and crediting finance charges, fees, and processing account adjustments to rectify account issues. To succeed, you must be highly motivated, analytical, detail-oriented, and an outstanding problem solver who takes pride in managing customer issues comprehensively and delivering exceptional service.
Job responsibilities<ul><li>
Use SAS &amp; SQL skills to query databases and research to identify correction population, financials and create execution files using accounts, customer, and transaction level data.</li><li>
Ensure analytics steps are accurate through attention to detail and supporting the independent validation team with understanding case requirements and code.</li><li>
Use SAS macros or another tool to automate analytics steps which are repetitive between cases.</li><li>
Develop skills and upskill to languages like Python etc. and deepen data knowledge to support closure of projects, ensure correct data is being supplied to stakeholders, deliver analytical requirements per the &ldquo;requirements documents&rdquo; and provide best-in-class analytics.</li><li>
Collaborate with key stakeholders like Project Managers, Business Analysts etc. across the firm to understand the context of cases including the issue and then use analytic techniques to carry out requirements (which requires translating high-level requirements into steps) and drive Analytics and Insights.</li></ul> 
Required qualifications, capabilities and skills<ul><li>
3 plus years of related experience with SQL and at least one of the following analytical tools: SAS, Python, R.</li><li>
Bachelor's degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
</li><li>Data Wrangling: Able to query data from multiple sources with considerations for null values or required manipulations/aggregation</li><li>
Data Mining: Identify insights and anomalies within data</li><li>
Logical reasoning &ndash; translating plain English requirements into codes and driving analytical insights out of it
</li><li>Experience working with at least one line of business within Chase Consumer and Community Banking</li></ul>
Preferred qualifications, capabilities and skills<ul><li>
Proficiency with standard MS Office tools (Excel, Word, PowerPoint, etc.)</li><li>
Strong verbal and written communication skills with the ability to synthesize data and information into executive summaries, briefs and/or reports.</li><li>
Understanding of data infrastructure in a financial services organization will be a plus. JPMC Product or Database knowledge and experience preferred.</li><li>
Demonstrated advanced troubleshooting and problem-solving skills with a customer service focus</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; 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&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Remediation & Corrections Analytics - Quantitative Analytics Associate

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