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Associate - Data Engineering & Modeling in Gurugram at Crescendo Global

Date Posted: 9/11/2018

Job Snapshot

  • Employee Type:
  • Location:
  • Job Type:
  • Experience:
    4 to 7 years
  • Date Posted:

Job Description

A technical job with a global Asset Management and Financial Services firm for Analytics aspirants holding more than 5 years' experience in Data Engineering, Model Development and Validation along with implementation. Our client is looking for a Data Analytics savvy professional with an aptitude towards implementing innovative financial or statistical models like regression and time series through code, and a strong command of Python, VBA or SQL along with Data Structures. If you are eager to grow your career in Data Engineering working in Finance domain where you will lead execution of Analytics projects then this is an amazing opportunity for you.



A leading, global firm with an illustrious range of financial and asset management services serving different market regions across the globe


  • Establishing clear revenue and profitability target for the business they will manage
  • Data Engineering: Lead execution of projects on analytics including data onboarding, quality control, analysis, visualization and enrichment supporting model and analytical components of broader advisory projects
  • Model Development and Validation - Development, validation, and execution of financial/ econometric/ regulatory models across variety of asset classes using statistical and econometric techniques on small/ large datasets
  • Bottom-up valuations and cash-flow projections for complex exposures and multiple asset classes
  • Communication/presenting results and analysis to internal/external stakeholders at all project phases
  • Collaboration with global engagement managers and project team on overall project execution and content creation
  • Assist in ongoing development of this skill set, training, and talent development as a competitive advantage of our approach and client offerings

Job Requirements


  • 5-7 years of professional experience in banking, financial, and consulting firms on data engineering and model development, validation, and implementation
  • Ability to write/develop and understand complex financial algorithms/statistical models (regression/time series) with minimal supervision
  • Coding mindset - someone who loves to code and is flexible to quickly switch from one technology to other. Technologies that we work on - R/SAS/Python/VBA/SQL. Programming skills are important since quant/analytical rigor is the secret sauce of our advisory services
  • Strong understanding of data structures/architecture, data visualization and statistical tools
  • Understanding of econometric modeling (regression/time series) and statistical concepts (distributions, population/sample/stratification etc.)
  • Exposure to regulatory and stress testing for banks and financial institutions across multiple geographies e.g. IFRS9, BASEL II/III, CCAR, PRA, PPNR, Balance Sheet Management/Optimization
  • Strong quantitative and problem solving skills
  • Solid verbal and written communication skills, including the ability to synthesize complex methodologies and analytical content into clear messages for a range of client and internal audiences
  • Bachelors/Masters in a relevant technical discipline: Computer Science; Math; Statistics; Engineering; Science; Management from top tier institutes
  • CFA / FRM is a plus


  • A meritocratic culture with great career progression.
  • An opportunity to work with a global brand in a high visibility role as a part of the Analytics team.