Risk Modeler

1 week ago


Hyderabad, Telangana, India Tiger Analytics Full time

Company Overview

Tiger Analytics is a global leader in AI and analytics, helping Fortune companies solve their toughest challenges.

We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.

We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.

About Us

We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Job Description

The role involves working with various clients to design, develop, and implement models for various retail credit and fraud scorecards, and risk model development.

Responsibilities include setting and reviewing tasks, performing QC, supervising, mentoring and coaching analysts.

You will be engaging with clients and client partners to understand their business context, and work with a team of data scientists and engineers.

Location: Chennai/Bangalore/Hyderabad/Remote

Experience: 2 to 8 years

Job Responsibilities:

  • Ability to design, execute and interpret statistical analyses to drive insights and strategy related different types of fraud
  • Conducting Independent analysis regarding different types of fraud including but not limiting to first party fraud
  • Develop and maintain relevant Machine learning models /classical models to mitigate fraud risk
  • Develop strategy to mitigate fraud risk using model output for various product like credit card/debit card, application fraud , ACH etc
  • Work with Product Risk managers and other stakeholders to support new strategy and product development and monitoring
  • Write summary documentation of analyses performed for both technical and non-technical audiences within the firm
  • Presents results to peers and higher levels of management
  • Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems

Required Qualifications, Capabilities, And Skills:

  • Bachelor's/ Master's Degree in a quantitative discipline with relevant work experience in analytics
  • Strong analytical skills with the ability to extract business insights from complex data structures
  • Experience coding in a flexible analytics language preferred (e.g. Python, R)
  • Proven ability to work with large-scale/complex issues and collaborate across organizations
  • Experience in Banking / Digital Banking preferred Prior experience in financial / banking institutions with fraud risk knowledge is a plus

Salary Range: $120,000 - $180,000 per annum



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