| ID: 2017-001-1001-qa
Title: Sr. Software QA Engineer
Job Location: Reston, VA
Employment Type: Full-Time
Posted Date: 4/02/2017
Job Duties
- Define and execute a QA strategy based on system requirements, development goals, and timelines;
- Analyze business requirements and technical specifications of applications in development to see how they can be developed into testable elements;
- Develop test case, test script, test scenario, and test methodology and document for execution including application functions and performance. Review and critique test scripts developed by less experienced staff and suggest improvements;
- Conduct tests of applications in production or in development. Verify the application functions and performance under testing that have been implemented correctly according to the specification. Identify function or performance issues;
- Document test results, and compile results of other testers into consolidated report for management, clients, applications staff. Perform regression or other analyses and present in project meeting;
- Test production software that had bugs or breakdowns in production. Test as appropriate and determine root causes and document for other technical staffs to address.
Requirements
- Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Systems, Software Engineering
or related discipline.
- minimum 5 years working experience in testing complex software/web applications.
Specialized Knowledge & Skills
- Proficiency in VB/VBS coding to drive QTP/UFT for test automation.
- Proficiency in automation framework setup/integration based on file system or test management tools;
- Proficiency in one of the following programming languages like C/C++/JAVA/JavaScript to drive LOADRUNNER for performance testing with different protocols;
- Proficiency in application performance verification, load testing, stress testing
- Proficiency in using test management tools like RALLY, HP ALM, CLEARQUEST, DOORS etc.
Send Resumes with cover letter to Rae@aktra.com
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| ID: 2017-002-1001-at
Title: Automated Tester
Job Location: Washington, D.C.
Posted Date: 4/1/2017
Responsibilities:
- Plans, conduct and implement automation testing of systems.
- Use programming skills to create and extend test frameworks.
- Work closely with engineering and product teams to design and develop automated tests.
- Ability to test complex financial data models.
- Work on a development under the direction of more senior staff.
- Convert testable product requirements into written use cases.
- Utilize coding expertise to develop and maintain test tools, testing frameworks, integration tests, functional tests, etc.
Qualifications:
- BS or equivalent.
- 5+ years of related experience.
- Advanced knowledge of SQL including reading/writing SQL code, optimizing SQL code, working with large data sets.
- RDBMS knowledge in one or more of PL/SQL, MS SQL, MySQL
- Agile and Waterfall software development models.
- Applications that use financial data and/or financial models
- Cucumber experience in either Java or Python
- SAS experience strongly desired.
- UNIX or LINUX experience is required.
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| ID: 2017-002-1002-fe
Title: Financial Engineer
Job Location: Washington, D.C.
Posted Date: 4/2/2017
Job Description
Use advanced mathematical, analytical, or econometric tools to create algorithms that will be used in analytical or product development processes. Using these tools, develop or refine computer applications that provide deeper analysis of prospective asset performance, asset pricing, new asset classes, or information needed to measure or hedge risk. Provide ongoing analysis of new products or asset classes, and suggest program modifications as necessary. May test applications for accuracy and functionality before putting them into service.
Key Job Functions
- Confer with product managers, marketing staff, capital market staff, or business unit management to determine analytical or product-related needs regarding product, investment instrument, market activity, or complex transaction to be analyzed.
- Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction, market activity, or investment vehicle that has multiple variables affecting potential outcomes.
- Report in quantitative manner on parameters of proposed purchase, sale, marketing action, structure of transaction or market activity, or risk factors and the degree to which they could affect outcomes.
- Participate with product management, treasury, or capital markets staff in exercises to value derivatives or other complex products, or to revise models used to perform these valuations.
- Perform ad hoc analyses as needed and assist managers of specific product lines with analytical, valuation, or pricing projects. Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing.
- Perform loss forecast analysis and reporting; perform ongoing ad hoc model development and analysis for specific clients needing high level quantitative analysis of credit risk, product valuation, asset analysis, and the like.
- Propose new risk indicators for senior staff/management approval and implementation. Assist with consulting with the business owners, designing and implementing an interface to record key indicators, research industry best practices of analyzing and reporting key performance indicators.
- Design basic to moderately complex test cases and test applications for systems used for a variety of analytical, pricing, risk management or credit pricing to ensure the business needs are met and analytics are correctly implemented.
Education
- Bachelor's Degree or equivalent required
Minimum Experience
- 2+ years of related experience
Specialized Knowledge & Skills
- Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
- Prior experience in testing models functionalities, including new user interface set up.
- Understanding modeling concepts around econometric equations, and model performance.
- Ability to systematically apply statistical and/or logical techniques to describe and evaluate data, including data mining and time series analysis
- Ability to provide insights from the analysis and communicate these to management.
- Ability to communicate with the modelling team (PhD researchers) regarding model limitations, issues, or potential enhancements.
- Advance Knowledge of Finance, Statistics or Mathematics.
- Advance knowledge of statistical analysis tools, in particular SAS as well as scripting language (UNIX shell scripts) and databases (Oracle/SQL Server).
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| ID: 2017-002-1003-pmd
Title: Python Modeling Developer
Job Location: Washington, D.C.
Posted Date: 4/2/2017
Job Description
Work onsite at our mortgage industry client where you will apply
software development expertise to migrate legacy SAS applications to automated
workflows written in Python.
Responsibilities
- Work in a small team environment composed of business analysts, developers and testers.
- Migrate legacy SAS systems to workflows written in Python.
- Automate earnings-at-risk calculations.
Qualifications
- Object-oriented Python experience in a LINUX/UNIX environment.
- Familiar with XML based technologies (XML messaging, XMLSchema, XML parsing).
- Proficient at UNIX scripting experience (bash, ksh, csh).
- Automating complex workflows using Python.
- SAS Grid Computing experience.
- Advanced SQL skills (especially with Oracle PL/SQL).
- Agile scrum experience.
- 3+ years using Python to build frameworks and automate complex workflows.
Preferred
- Experience with Hadoop or Netezza
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