职位1
Analyst - M&A Insights
Waltham, MA

Job ID: FL18661221
Summary
KEY RESPONSIBILITIES
  • Support clients, client teams, and M&A-dedicated experts
  • Handle short- and medium-term research requests related to M&A,  joint ventures / alliances, divestitures, due diligence, privatizations, initial public offerings, and integrations
  • Execute M&A target scans, company research, strategic evaluation and synergy assessments
  • Provide our consultants the vast array of firm knowledge
  • Be the point of contact for proprietary databases on an ongoing basis

BASIC QUALIFICATIONS
  • Undergraduate degree required; advanced degree a plus 
  • 1-3 years of professional experience required 
  • Understanding of and a strong interest in corporate finance concepts, including M&A, JV's, integrations/value capture and divestitures topics; willingness to quickly learn and disseminate detailed topical knowledge
  • Proven problem-solving skills with ability to quickly process complex information and present it clearly and simply
  • Proficiency in Microsoft Office (e.g., Word, Excel and PowerPoint) required; knowledge of analytical tools (e.g., Alteryx, Tableau,R , Python, SQL) is a plus but not required
职位2
Junior Data Engineer - QuantumBlack
Boston, MA/Chicago, IL

Montreal, QC/New York, NY/ Toronto, ON
Job ID: FL18661222
Summary
KEY RESPONSIBILITIES
  • Help build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work
  • Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
  • Create and manage data environments and ensure information security standards are maintained at all times
  • Understand clients data landscape and assess data quality
  • Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
  • Have the opportunity to contribute to R&D projects and internal asset development
  • Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions
BASIC QUALIFICATIONS

  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience
  • Ability to write clean and maintainable code in an object-oriented language, e.g., Python, Scala, Java  
  • Experience building data pipelines in a professional setting (for example, internship) would be considered a plus
  • Familiarity with analytics libraries (e.g. pandas, numpy, matplotlib), distributed computing frameworks (e.g. Spark, Dask), and cloud platforms (e.g. AWS, Azure, GCP)
  • Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps will be beneficial
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