583 Data Analysis jobs in Chantilly

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Data Analysis Manager

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

On a given day you will be:

• Refining a new Enterprise-wide analytical tools validation framework

• Planning and executing validation projects

• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

• Understanding technical issues in analytical tools and assessing tools risks and opportunities

• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools

• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations

• Leveraging education, colleagues and training opportunities to develop solutions to business problems

• Coaching and mentoring junior staff

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies

• At least 2 years of experience managing people

Preferred Qualifications:

• Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field

• At least 7 years of experience in statistical or econometrics hands-on work

• At least 5 years of experience manipulating and performing analysis with large data sets

• At least 5 years of experience in financial services industry

• At least 5 years of experience in developing statistical or econometric models

• At least 5 years of experience in validating statistical or econometric models

• At least 2 years of experience with data governance

• At least 2 years of experience with predictive analytics

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Analysis - Card Data Management

Capital One’s Card Data Management (CDM) organization is the risk steward for ensuring a well managed data ecosystem for the organization. CDM serves as the governance function accountable for the data risk for the organization. CDM is on a transformational journey to build out the data governance control framework focusing on automation and preventative controls to unleash the business for future data needs including generative AI and new third party data.

The CDM Team is currently hiring for a Data Analysis Manager who will work closely with a group of analysts and risk managers to develop and improve data management related controls and reporting to support Card’s data management strategy. As Card manages a significant portion of Capital One’s data footprint, this role provides opportunities for deep analytics to drive future data strategies.

This individual should possess a strong understanding of data and data environments, a passion for innovation and automation in a well managed manner, a proven track record of leading and mentoring junior analysts, and is known for strong influence and communication skills.

This role is ideal for someone who is capable of driving transformational change and delivering game-changing value. The preferred candidate will have a strong data background and loves to partner with the Card Business and our eData partners.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Work with vast amounts of data in new and evolving environments

• Leverage analytics to create a compelling customer experience that enables future data growth and usage

• Mentor a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Drive meaningful change to enterprise data products through the full life cycle

• Collaborate across Card business units and eData product teams

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Designing, developing, and continuously improving the Card’s data management controls, while also autonomously driving the process to evaluate effectiveness of Card controls in adherence with the methodology

• Maintain a strategic view of Card’s data footprint while driving improvements

• Building relationships and collaborating with key stakeholders

• Furthering the data agenda within Card to drive sustainability, amplify simplification & automation, enable ownership & accountability through transparency, and strengthen the control ecosystem

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

SafeGuard Services (SGS), a subsidiary of Peraton, performs data analysis, investigation, and medical review to detect, prevent, deter, reduce, and make referrals to recover fraud, waste, and abuse.

We are looking to add a Data Analysis Team Lead to our SGS team of talented professionals.

What you'll do:

The Data Analysis Team Lead will lead a team to conduct research and analysis on Medicare claims data and other sources of information to identify problems, review sophisticated data model output, and utilize a variety of tools to detect situations of potential fraud and support ongoing fraud investigations and requests for data.

Participate and coordinate the identification, documentation, analysis and validation of advanced business processes, systems, and solution requirements.
• Research, evaluate, and design components for data analysis initiatives and projects.
• Provide data analytical expertise to support requirements of cross- functional initiatives and projects, while contributing to the development and techniques used to meet the requirements of the data team. Lead and contribute to process review and improvement initiatives.
• Telework available from contiguous U.S. (Central/Eastern Time Zone Preferred)

Basic Qualifications:

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
• Experience in relational database design, extract, and reporting
• Experience with Microsoft Excel, Word, SQL, Outlook, and PowerPoint.
• Proven Ability to work with a variety of systems, sources of data and analytic tools
• Lead a team of data analyst.
• Develop and lead data projects.
• This position may require the incumbent to appear in court to testify about work findings.
• Ability to analyze data to identify and compare norms, trends, and patterns.
• Ability to present issues of concern, citing regulatory violations, alleging schemes or scams to defraud the Government.
• Ability to communicate effectively, internally and externally
• Ability to report work activity on a timely basis.
• Ability to handle confidential material.
• Ability to conduct self-directed research to uncover problems in Medicare and Medicaid payments made to providers enrolled in the Medicare and Medicaid Program.
• Ability to organize data project development, research violations, and accurately and thoroughly document all steps.
• Ability to attend meetings, training and conferences. Overnight travel may be required in some instances.
• Ability to work independently and as a member of a team to deliver high quality work
• U.S. citizenship required

Desirable Qualifications:

The most competitive candidates will have:

• Experience in leading, directing and coaching a team.
• Strong proven analytical ability and basic knowledge of modelling, statistical sampling, and artificial intelligence.
• Strong communication and organization skills

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Data Analysis Manager - Card Terms Analytics

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Team Description:

This role is on the Horizontal Card Terms Credit and Analytics team which manages the end to end Terms experience for Capital One Credit Cards. The team drives key strategies and horizontal analytics of APR, Fee, and Minimum

Scope of Work

The candidate will be responsible for completion of assigned duties and report to the Team Lead. The incumbent is expected to perform the following functions:
• Analyze data and reporting requirement for various facets of post-execution activities for fixed income (fixed and floating rate bonds, MBS, ABS), derivatives (futures, options, swaps), and cash products (repo, Money-market, FX).
• Must be able to independently analyze current reports to understand them in conjunction to the new data semantics and document the updated requirements.
• Work with IT teams to facilitate design solutions that meet business needs.
• Use analytical skills to learn users' business processes, document the data and report needs and suggest long term solutions.
• Develop test plans and conduct testing to ensure reports meet business requirements
• Maintain regular communication with stakeholders to provide updates and gather feedback.

4. Skill Set Requirements
• Experience with programing, quantitative, and analytical skills, including with Cloud, Dremio will be a plus.
• Familiarity with business-related IT development or IT technology projects, also with user acceptance testing and its related documentation. Previous exposure to FinTech related knowledge is preferred.
• Experience and knowledge of Capital & Investment Markets and Portfolio Performance Measurement and Attribution.
• Understanding of Murex data and ability to analyze requirement for end user reports.
• High-quality analysis and clear documentation of business requirements
• Adherence to project timelines and milestones is a must.
• Proven conceptual, analytical, and judgmental skills. Excellent oral and written communication skills

5. Qualifications

A degree in Information Technology, Business Administration, Finance or a related field.

6. Additional information

This position requires flexibility and initiative. Candidates should be self-starters who enjoy working with an international team of people. Candidates must be able to multi-task their workload assignments. Candidates must be fluent in spoken and written English, have strong writing and communication skills, and be team players.

Primary Skill:
Various streams of market data come from different vendors like Reuters / Bloomberg into the Treasury systems like Murex.
These market data consists of 4 different fields namely - Index , Currency, Term and Rate.
The

Senior Manager, Data Analysis - Enterprise Data Risk Management (EDRM)

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Senior Data Analysis Manager at EDRM, you will apply your analytic and technical skills to innovate, build, and maintain robust data solutions to address complex risk management challenges. Collaborating with peer Data Analysts, Data Scientists and Risk Managers, you will define critical metrics to drive enterprise level decision-making and foster enterprise growth and resiliency. Your deep understanding of the data ecosystem and innovative approach will transform our risk analytics into the enterprise’s primary source of strategic intelligence.

On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

• Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline

• Scripting experience in (Python, R, Spark, and SQL)

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

Basic Qualifications:

• Currently has, or is in the process of obtaining a:

• Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or

• Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies

• At least 2 years of experience managing people

Preferred Qualifications:

• Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field

• 7 years of experience in statistical or econometrics hands-on work

• 5 years of experience manipulating and performing analysis with large data sets

• 5 years of experience in financial services industry

• 5 years of experience in developing statistical or econometric models

• 5 years of experience in validating statistical or econometric models

• 2 years of experience with data governance or risk management

• 2 years of experience with predictive analytics

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

This role is Hybrid, with associates expected to consistently spend three days per week in the office.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Richmond, VA: $175,500 - $00,300 for Sr. Data Analysis Manager

McLean, VA: 193,000 - 220,300 for Sr. Data Analysis Manager

Riverwoods, IL: 175,500 - 200,300 for Sr. Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Primary Skill:
Various streams of market data come from different vendors like Reuters / Bloomberg into the Treasury systems like Murex.
These market data consists of 4 different fields namely - Index, Currency, Term and Rate.
The