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Job Description: 75267-1 Niche - Software Engineer - Data Scientist/ Data Engineer/ Data AnalystLocation/Remote/Workspace:Remote - USScheduleDays: M-FHours per week: 40Flexible hours: start and end timeOT: n/aWeekends/Travel: weekend or night deploymentsExtension/Conversion:This position is contract with the right to hire if a need becomes available. Manager will only look at candidates that are open to converting to a full time client employee. client will not sponsor work visas if the decision is made to hire the contingent worker.Business Need for this Role:Multiple regulatory initiatives, time critical and sensitive, quarterly deploymentsTop Must-Have Skills:Python-Pandas requiredIBM Spectrum Conductor & Spectrum ScaleLinux Expert levelHadoop and Cloud PlatformsLarge data center environmentsCandidate Requirements:PySPARKOracle/ SQLTechnical skillsStrong communicationAnalyticalPrevious roles: Data Engineer, Data Scientist, DevOps Engineers, Python Engineer, Software or VI Engineers.Degrees/Certifications:Computer Science or Engineering degree is requiredSoftware Engineering exp. would be preferredOverall Years of Experience Required: 6-8Day to Day Responsibilities:Look at current state solutions or proposed designsAnalyzing current state solutions/ Proposed designBuilding future state prototypes/ codeEngaged on architecture and system engineering aspectsData analysis using data science toolkits such as Python, SPARK, Tableau, ThoughtSpot, SAS etcInvolved primarily in financial modeling and regulatory financial/ Accounting applicationsWill need to be able to code in Python-pandas, leveraging libraries such as numypy, scikit etcPost-build testing, white-box validation and analysisBusiness model with code convert that model look at the requirements then produce the designBuilding application layers, moving data from SAS to Python, then moving into SparkWhat will separate an average candidate vs a great candidate on a resume?Financial modeling background/ experience, advanced knowledge and hands on experience with Python.Someone who has experience working with confidential informationWho is this workers main interaction going to be with?Interaction with ALM Exec, LOB quantitative engineers/ modelers, financial engineers, MIS architectsHow will performance be measured?Self-driven, passion to get things done, code quality, ability to pick up complex problems and analyze/ build out into smaller tangible components, ability to interact effectively and clearly with senior business and MIS architectsCompelling Story Why would a candidate be interested in this role over another?Potential for direct interaction with executives, will be working on strategic as well as regulatory efforts in regards to bank reserving/ capital processes.Interview Process:1st round video Skype2nd round video SkypeDress Codes: Business Casual
Vacancy expired!