Analyst

2 months ago

ahmedabad, India Yubi Group Full time

AboutCorpository

Weare a data aggregator turned data science company offering endtoendautomated complete lifecycle solutions for credit evaluationforensic analysis corporate due diligence portfolio monitoring andsmart leadgeneration.

Accuratetimely and reliable digital data when evaluated using machinelearning delivers decision grade actionable information.Corpository aims at building technologies and solutions toaggregate curate interrelate visualize analyze the digital data anddeliver powerful guidance for businessdecisions.

Wecreate datavisualization tools that make it easier to understanddata and uncover patterns enabling quicker datadriven analysis anddecisionmaking faster turnaround time and heightened competitiveedge.

Title:Analyst

Experience:24years

JobSummary:

Asan Analyst in the Finance Domain you will play a crucial role insupporting the data science team and collaborating with the CV/NLPteams to extract analyze and interpret financial data for riskanalysis purposes. This position requires a strong foundation infinance concepts and the ability to guide and assist the datascientists in working with financedatasets.

Responsibilities:

  • Collaboratewith the data science team to gather and analyze financial data forrisk analysisprojects.

  • Workclosely with the CV/NLP teams to develop and implement dataextraction methodologies specifically for financedatasets.

  • Assistin building scorecards and models to evaluate and predict financialriskpatterns.

  • Providesubject matter expertise in finance to guide the data science teamin working with financial datasets and ensuring data accuracy andintegrity.

  • Conductexploratory data analysis on financial data to identify patternstrends and insights relevant to riskanalysis.

  • Performstatistical analysis and hypothesis testing on finance datasets tovalidate models andfindings.

  • Collaboratewith crossfunctional teams including finance professionals toensure smooth data flow and seamless integration of models intoproductionsystems.

Qualifications:

  • Mastersdegree/ Professional Qualification like CA/CFA in a relevant fieldsuch asFinance

  • Strongunderstanding of finance concepts such as risk management financialmarkets and financialanalysis.

  • Knowledgeof data visualization techniques and tools (e.g. Tableaumatplotlib) for finance data analysis is anadvantage.

  • Excellentproblemsolving and analyticalskills.

  • Effectivecommunication and collaborationabilities.

  • Abilityto work independently and as part of a team in a fastpacedenvironment.

  • Previousexperience or exposure to risk analysis or the financial industryispreferred.


About Corpository We are a data aggregator turned data sciencecompany offering end-to-end automated, complete lifecycle solutionsfor credit evaluation, forensic analysis, corporate due diligence,portfolio monitoring and smart lead generation. Accurate, timelyand reliable digital data, when evaluated using machine learning,delivers decision grade actionable information. Corpository aims atbuilding technologies and solutions to aggregate, curate,inter-relate, visualize, analyze the digital data and deliverpowerful guidance for business decisions. We createdata-visualization tools that make it easier to understand data anduncover patterns, enabling quicker data-driven analysis anddecision-making, faster turnaround time and heightened competitiveedge. Title: Analyst Experience: 2-4 years Job Summary: As anAnalyst in the Finance Domain, you will play a crucial role insupporting the data science team and collaborating with the CV/NLPteams to extract, analyze, and interpret financial data for riskanalysis purposes. This position requires a strong foundation infinance concepts and the ability to guide and assist the datascientists in working with finance datasets. Responsibilities:Collaborate with the data science team to gather and analyzefinancial data for risk analysis projects. Work closely with theCV/NLP teams to develop and implement data extraction methodologiesspecifically for finance datasets. Assist in building scorecardsand models to evaluate and predict financial risk patterns. Providesubject matter expertise in finance to guide the data science teamin working with financial datasets and ensuring data accuracy andintegrity. Conduct exploratory data analysis on financial data toidentify patterns, trends, and insights relevant to risk analysis.Perform statistical analysis and hypothesis testing on financedatasets to validate models and findings. Collaborate withcross-functional teams, including finance professionals, to ensuresmooth data flow and seamless integration of models into productionsystems. Qualifications: Master's degree/ ProfessionalQualification like CA/CFA in a relevant field such as FinanceStrong understanding of finance concepts, such as risk management,financial markets, and financial analysis. Knowledge of datavisualization techniques and tools (e.g., Tableau, matplotlib) forfinance data analysis is an advantage. Excellent problem-solvingand analytical skills. Effective communication and collaborationabilities. Ability to work independently and as part of a team in afast-paced environment. Previous experience or exposure to riskanalysis or the financial industry is preferred.

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