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Data Science Finance Analyst 1

0 - 3 years

0 Lacs

Bengaluru Karnataka India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data finance analytics testing statistics mathematics econometrics programming algorithms experimentation analysis visualization integrity compliance technology ml ai engineering learning

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

  • This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data.

Responsibilities

Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems.
  • Works with the team to mine data using modern tools and programming languages.
  • Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.
  • Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
  • Supports the implementation of models to uncover patterns and predictions creating business value and innovation.
  • Works with the team to create stories with the data using visualization tools/methods.
  • Assures accuracy, integrity, and compliance of cleansed data.
  • Works with project team to understand problem statements, initiatives and directions from business.
  • Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
  • Collaborates and communicates with project team regarding project progress and issue resolution.
  • Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.

Education & ExperienceRecommended

  • BE/MTech/Bachelor's or Masters in Mathematics/Statistics
  • Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling.

Cross-Org Skills

  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

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