Consultant / Senior Consultant – Fraud Risk Model

Job Description

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. Our purpose is to provide certainty to shape a better tomorrow.Our team of + technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified™ (-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. About the role : The growing Financial Services vertical seeks self-motivated analysts and statistical modelers with superlative technical skills for a challenging role in the Financial Services Modeling & Analytics area.Responsibilities for this job include working with various clients to design, develop, and implement models for various retail credit and fraud scorecards, and risk model development. The role also comes with a managerial responsibility to set and review tasks, perform QC, and to supervise, mentor and coach analysts.As part of larger Financial Services practice, you may get to work on a broad range of business-critical problems across various work streams. 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 Requirement Job Responsibilities 1) Ability to design, execute and interpret statistical analyses to drive insights and strategy related different types of fraud2)Conducting Independent analysis regarding different types of fraud including but not limiting to first party fraud.3) Develop and maintain relevant Machine learning models / classical models to mitigate fraud risk4) Develop strategy to mitigate fraud risk using model output for various product like credit card / debit card, application fraud , ACH etc5)Work with Product Risk managers and other stakeholders to support new strategy and product development and monitoring6)Write summary documentation of analyses performed for both technical and non-technical audiences within the firm7) Present results to peers and higher levels of management8) Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems Required Qualifications, Capabilities, And Skills

• Experience - must meet one of the following requirements :
• Bachelor's / Master’s Degree in a quantitative discipline with relevant work experience in analytics
• Bachelor's Degree in a quantitative disciple ( Working knowledge and development experience with SQL, SAS and related tools such as Alteryx and Tableau
• 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