Risk Analytics Resume Sample

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Roger Champlin
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Work Experience

Risk Analytics, Senior
09/2015 - PRESENT
Philadelphia, PA
  • Data Stewardship – Ensuring all variables utilized, synthesized, or manufactured by the CCBRA team follow the firm’s Data Management and BCBS rules and regulations, along with all metadata management
  • Coordinating – interact with many groups including Risk Measurement Group, Enterprise Market Risk Group and BMO Financial Corp. ALM within Corporate Treasury, Capital Market traders, Financial Strategy Group, Back Office, LOBs, Chief Accountant’s Group for the measurement and hedging of risks, the operational process related to hedge transactions
  • Effective engagement with the business areas in order to fully understand their requirements
  • Effective utilization of Change Delivery resources ensuring that business expectations can be met whilst maintaining appropriate control standards and ensuring consistency between requirement needed to support initiatives
  • Rapid response to issues as they arise. Ability to drive quickly to the heart of an issue and propose appropriate solutions is key
  • Work with global teams across business lines and countries
  • Clearly articulating business and regulatory implications of analysis and findings to both Compliance colleagues and Senior Business Management
Risk Analytics, Prf
03/2013 - 05/2015
New York, NY
  • Contribute to the regular provision of market price references and maintain the documentation of the assumptions thereof
  • Build expertise in various power sector simulation techniques: long term capacity expansion models, detailed unit-commitment and dispatch models and stochastic approaches
  • Contribute to risk analysis for large group projects
  • Actively cross-breed with his/her peers across the company on all the aforementioned topics
  • Rapid response to issues as they arise
  • Actively improving the team’s analytical capabilities through the use of new techniques and knowledge sharing
  • Ongoing opportunities to innovate and drive change
  • Mentorship program to ramp business acumen and technical skills
Intern, Risk Analytics
02/2008 - 02/2013
Philadelphia, PA
  • Supporting decisions with sound reasoning and rationale
  • To co-ordinate multiple areas in the delivery of systems and processes that span across functions, adhere to tight deadlines and on occasion fall subject to changing requirements, all occurring within an environment of tight budgetary control
  • Fostering and maintaining an attitude of ‘can do’ within GRA Function
  • Risk measures developed (PD, LGD and EAD) are key drivers to determine regulatory capital, economic capital and stressed measures
  • Accurate and valid measures impact all aspects of capital business strategy including Revised Operating Plan process and risk/return decisions on individual transactions
  • Economic Capital is critical element of ICAAP process for capital adequacy
  • Meeting Basel II regulatory requirements is critical for wholesale businesses and HNAH
  • Improve and substantiate the understanding of market fundamentals for electricity and advise corporate strategy and the business units on these topics


Grand Valley State University
2003 - 2008
Bachelor's Degree in Statistics

Professional Skills

  • Assisting to resolve complex issues in modeling credit risk rating models used in the calculation of economic and Basel II capital, allocation of capital for performance measurement, and other aspects of credit risk management
  • Active participant in the quantitative analytical processes for credit risk. Ensures regular production of analytical work and reports. Acts as an important contact for credit risk models with regulators, Internal Audit Department, and Model Validation Group
  • Works with senior team members to evaluate existing processes in relation to corporate objectives and industry leading practices. Assess development needs and manage process to achieve desired future state
  • Strong programming skills in a statistical programming language such as SAS, Python, Spark and database skills such as SQL
  • Strong technical skills required in Microsoft office and proficient programming skills- SAS, SQL and/or Python
  • Data analysis experience, with a combination of business and technical skills. Experience in analyzing and manipulating large data sets
  • Strong organizational skills, including project management, to coordinate and schedule multiple priorities under tight time constraints

How to write Risk Analytics Resume

Risk Analytics role is responsible for programming, technical, analytical, sql, analysis, business, development, sas, collaboration, events.
To write great resume for risk analytics job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Risk Analytics Resume

The section contact information is important in your risk analytics 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
  • Email
  • Telephone number

Work Experience in Your Risk Analytics Resume

The section work experience is an essential part of your risk analytics 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 analytics 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 analytics position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Risk Analytics resume experience can include:

  • Strong data analysis experience, with a combination of business and technical skills
  • Strong communication skills with a record of effective communication of complex ideas to senior management
  • Proven skills in Analytics (Finance, Data science including Statistical/Stochastic modeling, Ability to work with large data volumes, etc.)
  • Excellent oral and written communication skills including the ability to communicate technical data
  • Excellent oral and written communication skills are required when interacting with committees and/or management
  • Excellent relationship management and problem solving skills

Education on a Risk Analytics Resume

Make sure to make education a priority on your risk analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your risk analytics 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 Analytics Resume

When listing skills on your risk analytics 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 analytics skills:

  • Strong problem-solving skills, with the ability to independently identify and solve problems in an effective and timely manner
  • Excellent problem solving skills and the ability to handle pressure situations without compromising on quality
  • Solid programming skills. Ideally from an object oriented language such as C++ and scripting
  • Experience implementing business systems, resulting in the steady and progressive development of technical skills
  • Good problem solving skills with capability to defend their decisions
  • Demonstrated quantitative, analytical and problem-solving skills, with attention to detail and high quality self-review of work products

List of Typical Experience For a Risk Analytics Resume


Experience For Risk Analytics, Prf Resume

  • Excellent SQL programming skills and working with large volume of data
  • Strong SAS skills (Enterprise Miner, Enterprise Guide, SAS/Base, SAS/Macro, SAS/STAT)
  • Possess excellent oral and written communication skills through professional preparation and presentation in all dealings with colleagues and customers
  • Strong programming, technical, quantitative and analytical skills (SAS, SQL, Access, Excel, Word, PowerPoint)
  • Thorough understanding of and demonstrated experience with statistical methodologies including least squares, logistic regression, and time-series forecasting
  • Experience with complex SQL tuning experience using relational databases such as greenplum

Experience For Risk Analytics, Senior Resume

  • Personal impact and gravitas, relationship management and influencing skills with people at all levels with the ability to build credible working relationships
  • Experience with complex SQL tuning experience using relational databases such as greenplum
  • Demonstrable experience in Traded Market Risk. Strong understanding of the qualitative issues within FRTB
  • Support Senior manager of Execution to ensure projects at regional levels are carried out effectively
  • Attends sales training events and professional development courses to enhance personal skills and technical competencies
  • Prior experience working in the business area or closely/directly with business are to gather business requirements/rules logic and develop code
  • Knowledge of Micro Strategy/Tableau similar technical skills
  • Expertise and continuous skills development in various analytical tools, including Python,

Experience For Manager, Risk Analytics Resume

  • Ideally, structured problem solving skills
  • Modeling experience related to structured finance, particularly Intex and/or Imake modeling, Excel, VBA, or Bloomberg modeling
  • Experience in identifying, measuring, managing, monitoring project risks
  • Experience building and reviewing multi-factor investment risk (VaR), investment analytics, tracking error and portfolio optimization models
  • Knowledge or previous experience with Project Managing, configuring and/or coding business intelligence tools (e.g. Cognos, Qlikview, Tableau etc)
  • Experience in transition rate modeling at loan level using competing risk framework
  • Experience gathering, processing, and translating end-user requirements into implementable plans within realistic, segmented timeframes
  • Experience of designing and building of robust End User Computing solutions in regulated entities

Experience For Risk Analytics, Mgr Resume

  • Experience managing and negotiating the contracting process across a variety of payment terms (e.g., time and materials, fixed fee, etc
  • Experience designing and developing highly efficient code for use in automated data processing systems on distributed Unix and Linux based platforms
  • Experience with planning and executing data conversion, data mapping and data reconciliation activities
  • Tght timelines and conflicting priorities need to be managed on an ongoing basis
  • Strong interest in learning the business details of mortgage insurance, other forms of credit enhancements, and various aspects of mortgages & housing industry

Experience For Risk Analytics, Dir Resume

  • Demonstrate a constant and quick learning ability and adapt to the new developing technologies
  • Operate keyboard at speed intermittently during working day
  • Experience in predictive modeling and analysis working with large data sets
  • Strong ability in problem solving and driving for results
  • A solid technical grounding in SQL (SQL Server), and/or SAS (Enterprise Miner), and/or VBA or other programming languages
  • Programming and optimization experience using data analysis tools such as SAS, R, and/or Python
  • Two or more years of experience in monitoring and analyzing mortgage credit risk and/or capital
  • Experience in banking within collateral, risk or credit risk management
  • Solid understanding of data mart/data warehouse life cycle

Experience For IBM Risk Analytics Resume

  • Solid understanding of technical tasks and dependencies
  • Solid understanding of business needs and detail requirements
  • Strong Work Ethic – Bring your desire to provide your best every day
  • Operate in an active deadlines-driven environment
  • Good knowledge of a broad range of products across equities & fixed income
  • Solid understanding of capital planning and management and key drivers of the sources and uses of capital
  • Experience in market risk management, liquidity risk management and enterprise-wide stress testing is advantageous
  • Self-motivated and results-oriented individual needed possessing the ability to excel under tight deadlines and be a proven team leader
  • Manage multiple high priority projects

Experience For Manager Risk Analytics Resume

  • Data strategy/ data warehouse project management experience
  • Data mart/database/ETL experience
  • Typically has 4 to 7 years of related experience
  • Develop and demonstrate subject matter expertise in various aspects of Single Family credit risk
  • Typically has 2 to 4 years of related experience
  • Partnership: Build trust and strong partnerships through my own and my team’s actions
  • Experience with data management principles and processes and robust familiarity with various data analysis and reporting tools such as: SAS, MS Excel
  • Experience with Underwriting, Appraisal, and Credit bureau data
  • Business experience, preferably with a background business analytics, strategy, reporting

Experience For Svp-enterprise Risk Analytics, Santa Ana Resume

  • In depth knowledge and experience with extracting CCB data from Chase’s data warehouses
  • Excellent knowledge of capital risk management and modelling best practice
  • Experience leading a highly technical team within a large business
  • Experience delivering professional services to a broad mix of industries
  • Experience delivering professional services to the Financial Services industry

Experience For Head of Risk Analytics Resume

  • Experience in working with data from enterprise systems
  • Understanding of cash flow testing, asset liability management, and economic capital
  • Understanding of regulatory requirements relevant to this role especially those relating to Solvency II
  • Planning of the IT processes for analytic calculations
  • Having a growth mindset
  • Be known for providing creative thought leadership while also listening and engaging others to provide input in the shaping of a strategic vision
  • Reputation of developing productive and trusting relationships with all functional areas (e.g. marketing, finance, sales, engineering)

Experience For Risk Analytics & Modeling Manager Resume

  • Expertise in querying, analyzing, reconciling and testing complex relational data
  • Loan Underwriting and Loan Funding application working knowledge or similar applications
  • Have a true eye and understanding for communicating information and getting buy in to /from Sr. Management, IT, Data Governance and stakeholders
  • A working knowledge of the Bank’s risk management framework, data aggregation systems, key risk reporting metrics and banking products
  • Large and stimulating environment providing continual opportunities for knowledge and growth
  • Scenario Development: this function primarily focuses on scenario design of new typologies and optimizing existing scenarios

List of Typical Skills For a Risk Analytics Resume


Skills For Risk Analytics, Prf Resume

  • Strong communications skills to explain results effectively
  • Excellent SAS and SQL programming skills (Including Stored procedures)
  • Excellent SAS, Unix and SQL programming skills
  • Proven quantitative, analytical and problem-solving skills
  • Strong verbal and written communications skills, and ability to build relationships
  • Data analysis experience, with a combination of business and technical skills
  • Solid programming skills. Ideally from an object oriented language such as C++ and scripting language such as Python or Perl
  • Programming experience with SAS, Python, pySpark and Hadoop HiveSQL Experience conducting complex analysis and reporting

Skills For Risk Analytics, Senior Resume

  • Experience in a quantitative role developing/validating Credit Risk models to support IRB, Stress Testing, IFRS9, Pillar II Credit Risk, etc.
  • Use data mining tools to effectively and efficiently gather appropriate reporting and analysis data
  • Is responsible for identifying technical staff skills/knowledge gaps, involved in recruitment and selection of new employees, and serving as a mentor
  • SAS and SQL programming skills
  • Work effectively and gain respect of key partners both inside and outside of the organization
  • Utilize project management and communication skills to ensure project deliverables are understood and achievable
  • Effectively identify and communicate any necessary changes to engagement scope
  • Proven experience in dealing with financial regulators, e.g. BAFIN, PRA or EBA/ECB

Skills For Manager, Risk Analytics Resume

  • High-level communication skills both written and verbal
  • Collaboration skills to navigate, influence and challenge
  • Data strategy/ data warehouse experience and 2+ years of management experience
  • Experience in a credit strategy development or validation role
  • Experience in analytics and the management of analytics at a large financial institution or similar industry experience required
  • Work experience in an operational role would be an strong asset
  • Programming experience with BI tools such as MicroStrategy, Tableau or Power BI
  • Understanding of Mortgage market, risks and controls, and fraud experience

Skills For Risk Analytics, Mgr Resume

  • Proven ability of leading the building, optimising & maintenance of best-in-class custom automated credit adjudication, achieving market leading results
  • Experience manipulating and analyzing large datasets using statistical software
  • Have experience manipulating and analyzing large datasets (Structured and Unstructured data) using Big Data tools
  • Experience working in large-scale corporate DataMart’s resolving inconsistencies and challenges in the data
  • Experience with manipulating complex data structures with database query language (SQL), and programming with common language such as VBA, C++, etc

Skills For Risk Analytics, Dir Resume

  • Experience in generating and analyzing quality metrics and trends
  • Conduct thorough testing, validation, and comparison of models based on internal modeling standards
  • Apply machine learning techniques in modeling, model validation, and model error analysis
  • SAS programming experience or similar tool
  • Ensures model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs
  • Experience working with large volume data sets
  • SQL programming experience

Skills For IBM Risk Analytics Resume

  • SAS or similar programming experience
  • Strong working knowledge in Excel, Access and PowerPoint
  • Demonstrated proficiency in programing languages (e.g., SAS, SQL, R) to manipulate and analyze large data sets
  • Combine technical expertise with advanced product experience to deliver complex solutions to solve business problems
  • End to end lifecycle experience of development and implementation projects
  • Develop, build, maintain: robust credit scoring models, based on policies & procedures, ongoing monitoring of models, excellent data quality
  • Desired: experience of operating within a regulated environment (e.g. Basel standards), achieving the highest standards of data quality
  • 1 – 2 years’ experience in a credit risk measurement role

Skills For Manager Risk Analytics Resume

  • Experience in working in cross-functional and cross-cultural working environments
  • Recent experience with analytical, data querying, visualization, and reporting tools such as SQL, SAS, R, Python, Micro Strategy, Tableau
  • Experience in the financial services industry with a track record of managing a team
  • In the financial services industry with experience in credit risk management
  • Mortgage industry experience of 2-5 years
  • Recent mortgage credit related work experience is required

Skills For Svp-enterprise Risk Analytics, Santa Ana Resume

  • Experience in BSA/AML analytics
  • Proven track record to learn new technologies quickly
  • Experience with HP ALM , Version one
  • Understand Data Points and demonstrate ability to communicate to Business accurately and efficiently
  • Receive assignments in the form of analytics deliverables and determine how to manage task and priorities to meet schedules and goals
  • Collaborate with team members and manage multiple priorities and meet deadlines

Skills For Head of Risk Analytics Resume

  • Work experience in the Investment/Capital Markets risk management area
  • Working knowledge of the business use cases and emerging technologies used in the exploitation of “Big Data” including Hadoop related tools
  • Reporting Quantitative information: Using data to inform business decisions
  • Working knowledge of database, data warehouse, data modeling
  • Driving credit risk policies in any of the following areas – credit line management, authorizations, high risk strategies, etc
  • Managing delivery of development tasks

Skills For Risk Analytics & Modeling Manager Resume

  • Working knowledge of the Application Lifecycle Management/Software Development Life Cycle
  • Ensuring business process flows and requirements are in alignment with upstream/downstream data
  • Working knowledge of Freddie Mac’s credit guarantee programs
  • Working knowledge with BI tools such as Spotfire, Microstrategy , Tableau etc
  • Programming – one or more of the following (R, Python, Matlab)
  • Working knowledge of database, data warehouse, BI applications, data related challenges

List of Typical Responsibilities For a Risk Analytics Resume


Responsibilities For Risk Analytics, Prf Resume

  • Manages the governance around Loss Events, Scenarios and Key Operational Risk measures including direct interaction with CEO, CRO as well as Board level committee
  • Data analysis experience with a combination of business and technical skills
  • Data analysis/ data applications development experience, with a combination of business and technical skills
  • Balance different requirements and to prioritise effectively
  • Demonstrated experience in supporting a culture that focuses on employee enablement, process/methodology discipline, and operational efficiency
  • Demonstrated risk model management experience within the consumer financial services industry

Responsibilities For Risk Analytics, Senior Resume

  • Related experience and 4 years of management experience
  • Proven track record of exceeding customer expectations and fostering high levels of customer satisfaction
  • Relevant work experience in building models based on loan level data using statistical techniques
  • Good understanding of unstructured, semi-structured file formats and database concepts
  • Experience with Autosys or job scheduling software
  • Typically has 5-7 years of financial services related work experience
  • Tight timelines and conflicting priorities need to be managed on an ongoing basis
  • SQL, 4+ years - one or more BI tools (SAS, R, Microstrategy) programming experience

Responsibilities For Manager, Risk Analytics Resume

  • Experience working with JSON, XML and unstructured data
  • Strong leadership aptitude and ability to engage others in project scope and risk management activities with Sr. Management
  • Asset and derivative modeling experience
  • Advanced MS Excel with VBA experience
  • Mortgage industry or financial / credit analysis experience

Responsibilities For Risk Analytics, Mgr Resume

  • Knowledge of and experience with GSE loan-level data and single-family credit default models
  • Analyzing large volumes of data, draw conclusions, and present findings
  • Perform rigorous model testing for all production models, including back testing, stress testing, and other testing involved in the model development process
  • Own the MD’s diary scheduling and managing appointments. Act as the main reference point both in the presence and absence of the MD
  • An understanding of data driven analytics, big data and interpreting data to solve business problems
  • Review back testing and stress testing programs. Ensure appropriate contribution to the "Firm Wide" stress test
  • Become the recognized leader in analyzing customer requirements and offering multiple, optimal architectural and technical solutions to business problems

Responsibilities For Risk Analytics, Dir Resume

  • For the generation of new business by identifying opportunities in existing accounts
  • Portfolio Monitoring & Reporting
  • Participates in the development of an analytical framework containing data preparation, code and reporting to support baseline and ad hoc analyses
  • Analytical, data-based approach to exploration, modeling of data, and testing of hypothesis
  • Design and actively participate in discussion around controls, auditing, reporting and analysis
  • Support and develop the process to monitor Geographic Risk, including reporting and documentation

Responsibilities For IBM Risk Analytics Resume

  • Prepare client deliverables (agreed-upon procedures report) and associated working papers supporting our findings
  • A working knowledge of VBA, SQL
  • Oversee reporting of Partners’ revenue in risk arrangements and support Partners’ submission to the annual cost hearings
  • Owns planning and execution of CAR projects
  • Managing data related projects
  • Develop test cases, test scripts and perform user acceptance testing for data application projects
  • Work on detail while keeping in mind the big picture

Responsibilities For Manager Risk Analytics Resume

  • Is clear and capable of acting at speed and has confidence, energy and resilience
  • Provide insights to support the use of digital client authentication methods, including voice-based systems
  • Analyze data and KPI reporting to ensure performance is as planned and take necessary action(s) with findings
  • Previous success working with third parties to leverage revenue production and services delivery
  • Foster analytics competency to support and increasingly guide fact-based and timely decision-making
  • RESULTS FOCUS – achieving results resiliently (Level 3)
  • TEAMWORK AND COLLABORATION – working together to deliver results (Level 3)

Responsibilities For Svp-enterprise Risk Analytics, Santa Ana Resume

  • Knowledge of SQL (SQL Server) and other programming languages
  • Perform ad-hoc modelling on specific deals. Proactively deal with requests such as new projects, new methodology, unexpected market or regulatory changes
  • Lead the delivery of technical solutions throughout each stage of the full systems life-cycle during the development and installation of software solutions
  • Participate in the development engagement work plans; identify resource requirements, and completing assigned tasks to budget and plan
  • As a member of the sales support team by providing technical input and reviews for proposals and presentations
  • Devise & lead “champion-challengers” to optimize underwriting or collection strategies

Responsibilities For Head of Risk Analytics Resume

  • Proactively develop analytics tools for assessing Reseller portfolios & resultant strategies
  • Participate in standup meetings and other required meetings such as test planning, retrospective, status meetings as needed
  • Perform data profiling, extensive data analysis
  • Work with project team on reviewing detailed design document
  • System/Data analysis to identify gaps in existing data and processes, recommend solutions
  • Develops, relatively quickly, deep understanding of relevant data, systems and business background
  • Maintains collaborative working relationships with internal clients
  • Build and improve forecasting accuracy of mortgage models - prepayment, default, and severity

Responsibilities For Risk Analytics & Modeling Manager Resume

  • Write a technical documentation on models using established standards
  • Research state-of-the-art modeling and analysis techniques
  • Lead UAT planning and execution
  • Develop, relatively quickly, a deep understanding of relevant data, systems and business background
  • Maintain collaborative working relationships with internal clients
  • Build/enhance reporting BI solutions in Tableau
  • Assist in executing Significant User role of key models that drive capital (House Price, Default and Capital models)
  • Review capital and portfolio reporting performed by Finance for impact to business decisions
  • Prepare periodic briefing for senior management and formal risk/capital committees

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