Risk Data Analyst Resume Sample
Korbin Shields
8423 O'Connell Tunnel,
Houston,
TX
+1 (555) 473 7586
Work Experience
Senior Risk Data Analyst
07/2016
-
PRESENT
Phoenix, AZ
- Manage monthly data files loading, validations and updates to ensure data is available when required and is suitable for use
- Manage issue resolutions affecting the reliability or quality of data provided to the credit risk stress testing systems
- Manage relationship and SLAs with all source-system data providers for smooth operation of the stress testing systems
- Manage and improve processes associated with loading and analyzing system data
- Triage and resolve issues affecting the reliability and quality of data
- Manage data governance deliverables by developing and maintaining key data, metadata, and data lineage requirements and monitor data quality
- Support the execution of credit risk stress testing. E.g. CCAR, DFAST, ICAP and MST
- Support the analysis of model outputs and produce business validation results for further reivew by model owners
Risk Data Analyst
02/2014
-
05/2016
Boston, MA
- Design and document proposed processes and system functionality related to provision of models and the application on the FWST system
- Various problem solving and troubleshooting tasks
- Support Quality Assurance process - to ensure the integrity of risk measures by performing manual adjustments and ensuring entries are appropriately validated, applied, and tracked to meet business and audit controls. Document processes and procedures and help train team members to back up daily responsibilities. Support month end and quarter end data processing
- Maintain controls - related to the integrity of risk data, conducting ongoing data quality review, ensuring new initiatives including program/product/process design implementation, systems, procedures, documentation etc., meet the standards required to support the business unit objectives and overall controls
- Compile data from various databases and use advanced excel functions provide data analysis and management necessary for Unit Reviews
- Review loan documents for consistency with credit approvals and adherence to Credit Policy
- Report weekly progress of Unit Reviews
- Create various charts used for writing Unit Review reports
- Maintain a database to capture key metrics for testing Unit’s adherence to Credit Policy
Market Risk Data Analyst
06/2008
-
11/2013
Los Angeles, CA
- Perform a monthly follow up with Units on outstanding recommendations and credit designations
- Inform the team on any updates to Credit Policy prior to each Unit Review
- Day-to-day accountabilities include (50%)
- Manage relationship and SLAs with all source-system data providers for smooth operation of the credit risk analytics platforms
- Project accountabilities (45%)
- Manage the documentation of high-level, and detailed data requirements to support changes in credit risk analytics platforms’ deliverables
- Manage resolution of issues with Technology and data providers
- Coordination and execution of system integration and user acceptance testing related to system data and functionality
- Business User Support (5%)
Education
University of Virginia
2003 - 2008
Bachelor's Degree in Data Science
Professional Skills
- Proven ability to influence, including strong communication and interpersonal skills with the ability to build relationships of trust
- Good blend of analytical skills, especially with manipulating large volumes of data across multiple worksheets. Excellent attention to detail and high accuracy
- Strong mathematical, analytical, and quantitative skills required
- Excellent computer skills, and proficiency with Excel, VBA, and SQL
- Excellent SQL skills and knowledge of an Enterprise data warehouse environment
- Data Analytics skills and experience Relational Databases with exposure to tools such as SAS, QlikView, Teradata, Brio, Excel
- Outstanding collaborative skills with the ability to empathise and engage with team members & flex style accordingly
How to write Risk Data Analyst Resume
Risk Data Analyst role is responsible for analytical, design, database, sql, software, reporting, analysis, microsoft, finance, retail.
To write great resume for risk data analyst job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Risk Data Analyst Resume
The section contact information is important in your risk data analyst resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Risk Data Analyst Resume
The section work experience is an essential part of your risk data analyst resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous risk data analyst responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular risk data analyst position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Risk Data Analyst resume experience can include:
- Model Development is accountable for the design and delivery of credit risk measurement models. These models are used within AIB Group to support decisions on the interest rates which we charge our borrowers, compute the Group’s P&L providing returns to our shareholders, support the determination of the regulatory capital requirements
- Working experience with a range of data tools
- A good understanding of operational risk, offshoring and outsourcing ,IT risk, IT security or BCM
- A good understanding of operational risk (resilience), offshoring and outsourcing, Technology risk, cyber, data security or BCM
- Experience in applying advanced statistical techniques (descriptive statistics, statistical modelling, machine learning etc.)
- Experienced at manipulating large volumes of data in a constantly changing environment
Education on a Risk Data Analyst Resume
Make sure to make education a priority on your risk data analyst resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your risk data analyst experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Risk Data Analyst Resume
When listing skills on your risk data analyst resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical risk data analyst skills:
- Data modelling skills and experience
- Demonstrate proficiency in applying analytical skills to identify trends and insight
- Strong coding skills in the statistical software R
- Proven team leading and building experience
- Provide written analysis on subject data reports and effectively articulating information to non-technical audiences
- Developing, managing and evolving documentation in support of business line support of tools, models and validations
List of Typical Experience For a Risk Data Analyst Resume
1
Experience For Senior Risk Data Analyst Resume
- Coordinate monthly data files loading, validations and updates to ensure data is available when required and is suitable for use
- Experience with data management principles and processes and robust familiarity with various data analysis and reporting tools such as: SAS, SQL, Excel
- Gathering data from different sources
- Deploy advanced analytics using data mining and predictive modeling techniques to drive Payroll business outcomes agents
- Support data governance deliverables by developing and maintaining Critical Data Inventory, Data Quality Rules and monitor data quality
- Participate in new projects and releases testing activities related to system data and functionality including preparation and execution of test cases
- Provide business user support including responses to data inquiries, information, and training support
- Understand the daily and monthly reporting requirements of the reporting team and assist on an ad-hoc basis
- Upon request, develop research to provide insights and underwriting performance benchmarking to clients in support of their risk management efforts
2
Experience For Operational Risk Data Analyst Resume
- Analyze the impacts of data quality to various reporting
- Report to modelling committee on model performance
- Provide support to market risk reporting team
- Review Risk Dashboard reports each month for accuracy and identify operational and underwriting/profitability risks
- Support the production and implementation activities related to IFRS 9, CECL, CCAR, DFAST, EWST etc.
3
Experience For Market Risk Data Analyst Resume
- Document data requirements to support changes in credit risk analytics platforms’ deliverables
- Ensure compliance with audit and SOX standards as required
- Advanced knowledge of MS Excel (i.e. pivot tables, vlookup)
- Highly self-motivated, pro-active and ability to work collaboratively
- The remediation and resolution of data quality issues across the NA LOB’s in compliance with Citi Data Management Policy IMR process requirements
- Participate in Tier 1 and Tier 2 meetings for NA LOB’s
- Manage the End of Year Loss run reconciliation process by coordinating with Insurance and Risk Operations Manager(s) to provide information required by financial and auditing teams
- Compile, review and verify accuracy of data contained in claims management system reports and provide written and/or verbal analysis on the information
4
Experience For IT Risk Data Analyst Resume
- Assist with due diligence and insurance review to support the Company’s organic growth initiatives and acquisition process
- Application Development and Data Management
- Business Requirements and Solution Design
- Interfaces with business users and modelers to determine needs, uses and specifications of data requests and conducts detailed analysis of data requirements
- Create detailed Data Mappings through all stages of model data life cycle
- Partner with other DAL, Orchestration and Modeler teams in defining and designing target state architecture by combining knowledge of what the business wants with knowledge of how the models and systems are built
- Serve as liaison between Modelers, Model Execution and business end-users; work with Modeler Implementation, DAL and Orchestration teams to ensure that they understand the specifications
- Support modellers through data definitions and contribute to the wider ING Group data definition project
- Update of parameters based on recent data
5
Experience For Credit Risk Data Analyst Resume
- Analysis of market risk data, processes
- Production and adaptation of Market Risk data models
- Collaboration with global Market Risk teams
- Master in Mathematics or Data Science (or eq.)
- Review and track all clients through the New Business Process to ensure accuracy and operational success of each review
- Review internal account records, reports, and trends to determine the source of negative account/client profitability and devise solutions aimed at improving profitability
- Act as a liasion with the Assurant Data Analytics team to help ensure data requests are accurate and complete
6
Experience For Collections Risk Data Analyst Resume
- Have an in depth knowledge of the businesses and our clients to be able to analyze the data and ask the right questions to assess risk
- Identify and quantify segment level as well as enterprise wide risks and develop and document risk scenarios. Analyze the data created to understand potential risks as it pertains to time and resource requirements
- Support the Wealth Management Coverage team with a focus on analyzing large data sets of structured and unstructured data using machine learning, text analytics, and other statistical techniques
- Work collaboratively with the Wealth Management Coverage team in New York, data science colleagues in Shanghai and in the business, and business partners in New York, Maryland and Utah to scope projects, define analytical approaches, establish time frames, conduct analyses and summarize conclusions in concise presentations
- Participate in scenario analysis preparation supporting analytical approaches to estimate stress losses across a range of operational risks and a variety of business, operational and financial market conditions
- Practical knowledge and experience around financial instrument valuation methods and (stochastic) scenario generation techniques
- Contribute to the oversight and maintenance of the eGRC system, ensuring accurate risk reporting, data analytics and metrics gathering by RS&G
- Technical aptitude including use of computer networks, Linux operating system and client/server applications
- Collaborate across RS&G and other enterprise/divisional risk teams to continually evolve data analyses, insight and reporting
7
Experience For Operaional Risk Data Analyst Resume
- Readily learns new complex concepts and has the ability to incorporate them into analyses and decision making
- Work with Development team to improve the core software offering
- Theoretical understanding of financial economics, mathematics and statistics
- To support risk data extraction and aggregation with Bank’s Wholesale and Retail portfolios for credit risk reporting and analytics
- To manage the data reporting and analytics process with proper governance and documentation, and keep the data quality at defined satisfactory level
- Develop analytics using data from systems that we build and design
- Contribute to development of presentations for executive management and senior risk managers and provide back-up support to the team members as required
- Perform other ad hoc projects, analyses and presentation support for the Wealth Management Coverage team
8
Experience For Banking Risk Data Analyst Resume
- Work directly with RS&G Risk Analysts to understand eGRC methodology, reporting, and analytics requirements. Collaborate with the Risk Data Specialist to further define and manage eGRC requirements and technical controls, ensuring continued alignment to the risk framework
- Aggregate risk data across the divisions to design, develop and deliver meaningful data analyses that support divisional reporting, scorecards and analytics, and Key Risk Indicator (KRI) metrics
- Assist with compiling risk data and exposure metrics for enterprise, cross-divisional risk, and RS&G teams, as needed
- Participate in risk projects, as required, to ensure seamless data enhancements for risk teams across the enterprise
- Present details in an easily understood and meaningful format, while maintaining a broader business perspective on risk data. Apply the risk management framework to assigned processes, projects and support activities
- Identify, investigate and recommend improvements for enterprise data integrity, gathering and reporting
9
Experience For Cdo-risk Data Analyst Resume
- Develop and maintain relationships with external and internal stakeholders at all levels in the organization
- Technical reporting expertise (i.e., innovation, creation, quality assurance) is required. Demonstrated ability to analyze quantitative and qualitative data to draw conclusions and present those findings in an easily understood and meaningful manner
- Analysis and Investigation: Undertake various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank
- Digital protection: Access / utilise bank data within the policies and frameworks required by AIB
- Data insights: Perform exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business
- INFORMATION AND DATA ANALYSIS – analyse information to support the identification of Business opportunities and influence behaviours to achieve Business objectives
10
Experience For Ccb Risk Data Analyst, Risk Architecture Resume
- Provide subject matter expert advice to internal and external audience for risk management topics including financial markets operations, product valuation methods, scenario based risk analysis and risk reporting standards
- Own functional projects related to feature extensions including interaction with development team (team & core), research and client service teams. Involves independent scope setting, task determination, priority setting and development support
- Investigation and remediation of client support issues (3rdlevel support)
- Practical knowledge of financial markets and risk management standards
- Familiarity with data science languages such as R or Python
List of Typical Skills For a Risk Data Analyst Resume
1
Skills For Senior Risk Data Analyst Resume
- Strong experience in SQL, SAS and VBA
- Experience in delivering and embedding pragmatic analytics, commensurate with the level of risk in the underlying business operations
- Experience in an advanced technical environment – collaborating on or writing scripts or code, integration, testing and deployment
- Experience with relational database management systems; including advanced SQL (complex joins, indexing, etc.)
- Prepared to work towards or is working towards a good understanding of Aviva’s Information Technology and Business Protection Business Standards
- Strong knowledge of desktop computing applications, particularly Excel, Access and knowledge on SQL query analyzer
- Strong knowledge of desktop computing applications, particularly Excel and knowledge on SQL query analyzer
- Experience in Banking & Financial services domain
- Experience leading projects
2
Skills For Operational Risk Data Analyst Resume
- Experience in the banking or financial services industry
- Experience with programming languages and data analysis tools such as Python and R
- Experience in BI reporting or data analysis
- ASP.Net / MVC/ c# working knowledge or experience
- Experience of working with MS Excel (formulas and pivot tables), MS Word and MS Powerpoint
- Experience working in a relevant Data Analysis or Business Analysis role
- Experience in using SQL, Visual Basic, complex Excel macros
- Experience (desired but not essential) in using
3
Skills For Market Risk Data Analyst Resume
- Relevant working experience
- Direct experience in database management
- Strong theoretical knowledge of probability andstatistics, regression analysis and different equations
- Knowledge of Risk Management terminology and principles. Experience in process improvement and project application development lifecycle
- Knowledge of relational databases and solid knowledge of database concepts
- UI design tool experience (i.e. balsamiq)
- Experience in data analytics related roles
- Relevant experience in the financial industry working with front or middle office portfolio risk management systems
- Experience with financial market data such as Reuters, Bloomberg or Interactive Data applications
4
Skills For IT Risk Data Analyst Resume
- Experience designing and developing in Python and AWS
- Experience with Unix shell scripting
- Identify, validate and clean existing data sources
- Experience in Hadoop Platform (Hive, HDFS and Spark)
- Experience with SQL
- Experience with Spark Software
- Experience with version control tools and processes (Subversion, CVS, Clear Case etc.)
- Implement relevant controls, checks and validation rules for each dataset
5
Skills For Credit Risk Data Analyst Resume
- Producing a timely, accurate and comprehensive MI reporting suite, and responding to subsequent actions for further investigation when necessary
- Building and maintaining in depth understanding of the Credit Portfolios as well as the metrics used to monitor performance
- Designing and implementing technical solutions to enable monitoring of levels of risks, often by means of a user-friendly interface
- Providing reporting for a range of relevant stakeholders
- Collecting and analyzing data from various sources to verify hypotheses defined in collaboration with stakeholders
6
Skills For Collections Risk Data Analyst Resume
- Designing and implementing technical solutions (e.g. in Tableau) to support presentation of results
- Growing and training a global team with various capability levels to contribute to the mission
- Automating our risk processes using robotic process automation
- Responding to regular and ad hoc requests for reports and data from financial regulators
- Understanding of Global markets infrastructure, products and their valuation
7
Skills For Operaional Risk Data Analyst Resume
- Understanding of Global markets infrastructure,products and their valuation
- Collaborating with other teams and subject matter experts to identify relevant data sources and properly measure level of risk
- Advising stakeholders on analytical approaches to problems and associated costs and trade-offs
- Establishing relationships with business stakeholders to identify and address Corporate Center Risk Control relevant risk areas in the organization
- Presenting presentations to inform/educate the stakeholders about the findings of the analysis
- Analysing the data in terms of accuracy and readability
- Creating regular and ad hoc reports
- Summarizing findings, conclusions, and recommendations in senior management compatible presentations
- Establishing relationships with business stakeholders to identify and address operational resilience relevant risk areas in the organization
8
Skills For Banking Risk Data Analyst Resume
- Improving risk processes through technology innovation
- Consulting with sales and pre-sales to present Service capabilities to prospects. Identify and fill gaps where necessary
- Promote and advocate collaborative, teamwork environment by coaching and mentoring colleagues focusing on leveraging colleague strengths
- Lead the development of Operational Risk Data Quality testing co-ordinating directly with the Modelling Team and Operational Risk
- Presentation of Data Quality testing results to stakeholders highlighting any issues or deficiencies and recommend actions
- ·Support with Risk management tooling access, training, self-service and general enquiries
- An interest in statistical analysis techniques (descriptive statistics, statistical modelling, machine learning etc.)
- Gain a working understanding of our risk processes and methodologies to ensure innovations support their implementation
9
Skills For Cdo-risk Data Analyst Resume
- Perform the Data Quality Profiling, Monitoring and Measurement for the NA LOB’s they are assigned to support
- Develop, and distribute required Data Quality Reporting for all of the NA LOB’s to meet LOB’s needs and GCB DGO reporting requirements
- Ensure accurate recording and allocation of financials and provide requisite information for regulatory reporting
- Proficiency in Excel, Word, PowerPoint, Tableau and Access, including their reporting capabilities
- The role requires close collaboration with the Modelling and Control and Governance Teams
- ·Assist with the execution of IT Risk reporting and Management Information development
- Accountable for project deliverables related to the provision, maintenance, analysis, and understanding of quality of data
10
Skills For Ccb Risk Data Analyst, Risk Architecture Resume
- Manage the documentation of high-level, and detailed data requirements to support changes in credit risk stress testing systems’ deliverables
- Banking and investment product knowledge
- Provide an Data, Analytical and Reporting capability from a consistent, accurate and reconciled source of data
- Enjoys working in a team-oriented, collaborative environment
- Assist in the production of the commercial Allowance for Loan and Lease Losses (ALLL) methodology, reporting, and estimate in assigned areas
- Very diligent, detail-oriented and accurate way of working
- Engage in the Implementation of Data Quality Monitoring and Measurement for all CDE’s identified by the NA LOB’s Data Governance teams
- Review internal systems to identify areas lacking maximum functionality and provide process improvement recommendations
List of Typical Responsibilities For a Risk Data Analyst Resume
1
Responsibilities For Senior Risk Data Analyst Resume
- Manage the process of updating monthly MEDUC dashboards in Sharepoint through SQL tables and excel spreadsheets. Update and prepare new data by setting up new clients, risk indicators, benchmarks and risk ratings
- Track new clients that come through the new business process and ensure the requisite information is established on the MEDUC dashboards prior to program launch
- Track successful New Business Process deals through the contracting and implementation phases to the delivery of data into SQL repository for MEDUC dashboard review
- Good numerical and statistical skills
- Experience including experience on large, complex data analytics or intelligence programs and Big Data
- Experience maintaining data integrity across multiple databases
- Demonstrated proficiency in developing KPI’s and visual controls
- Working experience in data-related departments
- Research and analyze client level detail data to validate and interpret client specific information
2
Responsibilities For Operational Risk Data Analyst Resume
- Experience in data analytics related roles
- Data quality and data remediation experience
- Strong theoretical knowledge of probability and statistics, regression analysis and different equations
- Flexibility and ability to adapt to a constantly evolving system, product and methodology changes is essential
- Familiarity with data modelling, entity relationship diagrams, and data dictionaries
- FINRA licenses are not required; however, those currently holding licenses can maintain them in this role
- Familiarity with Banking products and services
3
Responsibilities For Market Risk Data Analyst Resume
- Perform setup and development of dashboards for new clients through excel and UI based tools
- To automate and enhance credit risk MIS and analytics and shorten the turnaround time
- To collaborate with other risk functions, finance and business teams to identify business opportunities and improve system/ processes efficiency
- Time management skills: ability to simultaneously manage and complete multiple tasks and conflicting demands within time constraints, under minimal supervision, and effectively prioritize workload
- Strong analytical, problem solving, and decision-making skills, sufficient to interpret risk measures and effectively communicate the results to business stakeholders
4
Responsibilities For IT Risk Data Analyst Resume
- Knowledge of the regulatory Framework, it’s particular importance to the assigned risk domain and its implementation within CIBC
- Identification of metrics, thresholds and business rules for measuring data quality (i.e. accuracy, integrity, completeness, timeliness, latency and coverage) and ensuring adherence with bank and regulatory standards and principles related to risk data aggregation and reporting
- Knowledge and experience in Capital Market and market risk
- Experience in one or more of the following areas: Risk Management, Decision Management, Finance, Operations and/or Collections, Business Intelligence, Technology, Data/Database Management, Customer Analytics and Reporting, Project Management, Operational Risk
- Knowledge of data, reporting and analytic functions preferably within financial services
5
Responsibilities For Credit Risk Data Analyst Resume
- Experience in Risk Management, Decision Management, Finance, Operations and/or Collections, Business Intelligence , Technology, Data/Database Management, Customer Analytics and Reporting, Project Management, Operational Risk
- Microsoft SQL Server database administration experience (backup, maintenance plans, security, performance measurement, optimization, replication), maintenance of relational databases and analytical manipulation of data
- Advanced SQL development and reporting skills. Solid experience in writing and troubleshooting complex SQL queries, relational database design and development, and query performance optimization
- Excellent eye for detail and ability to identify trends and patterns of information
- Strong demonstrable knowledge of relationship databases
- Experience in a data analytics or risk management capacity
- Experience in the insurance industry
- Knowledge and a demonstrated ability with a variety of applications such as SQL, and advanced analytic functions in Excel, such as pivot tables
- Financial analysis experience
6
Responsibilities For Collections Risk Data Analyst Resume
- Relevant experience in analytics in risk domain
- SQL Server 2008 (or newer) Management Studio; SQL Server Integration Services (SSIS); Team Foundation Server; HP ALM – Requirements and Defects modules
- Sound knowledge of SAS EG/BASE or equivalent software for data manipulation and management
- Excellent communication skills, both verbal and written, and an ability to present ideas with impact; ability to communicate complex analytical techniques and results clearly and concisely
- Deliver results under pressure with competing demands and challenging deadlines
- There are multiple openings available
- Knowledge of SAS EG/BASE for data manipulation and analysis
- Multi-task and to manage stakeholders independently
7
Responsibilities For Operaional Risk Data Analyst Resume
- Develop and write requirements and design specifications for process, workflow and user-interface changes in the market data platform, and participate in the implementation and testing,
- Contribute to analyses/responses demanded by internal and external parties (e.g. regulators, audit)
- Develop and write requirements and design specifications for process, workflow and user-interface changes in the market data platform, and participate in the implementation and testing
- Monitor and review data quality and develop strategies for data quality assurance
- NA LOBs Data Governance Leads and their teams
- Build robots to automate processes
- Improve the efficiency of our systems and teams through the use of data
8
Responsibilities For Banking Risk Data Analyst Resume
- Collaborate with investigators, other data analysts and product managers to identify new risks through data
- Actively collaborating with other teams and Subject Matter Experts to identify relevant data sources, help develop value-add assessments and properly measure level of risk
- Adopting market leading reporting and data visualisation tools and advanced data analysis tools and statistical techniques to provide greater insight on our risk and controls
- Proficient with Excel (formulas, pivot tables, charts)
- Knowledge of database design and Oracle SQL, knowledge of LaTex document creation would be an asset
- Experience in Risk Management, Decision Management, Finance, Operations and/or Collections, Business Intelligence, Technology, Data/Database Management, Customer Analytics and Reporting, Project Management, Operational Risk
- Strong programming skills in the statistical software R
- Experience in dashboard design, robots, or predictive analytics
9
Responsibilities For Cdo-risk Data Analyst Resume
- Strong interpersonal skills, able to communicate effectively both written and verbally, together with the ability to plan, organise and manage your time effectively
- The ability to articulate the financial drivers behind the bank’s Profit & Loss, and the impact that the risk profile of the balance sheet can have upon it
- Knowledge of database design and Oracle SQL
- Understand our customers and our industries needs in order to provide our customers with fair access to credit to adhere to the highest standards of regulatory compliance
- Successfully engage and collaborate with team members
- Awareness of data governance principles, policies, processes and procedures
- Data Architecture and Information Lifecycle Management frameworks and practices
10
Responsibilities For Ccb Risk Data Analyst, Risk Architecture Resume
- Understand business processes and how they relate to dataflow throughout an organisation
- Relevant technology and/or management qualifications highly advantageous e.g. CIMP,TOGAF, ISEB, PRINCE 2, PMI
- Relevant industry knowledge is highly advantageous e.g. IFRS9,IRB, RAROC, EBA ITS, CRR
- Tertiary qualification in a Mathematics or related discipline
- Python, SSIS, Tableau (desirable)
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