Fraud Risk Role - Financial Services Vertical

Fraud Risk

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

Experience : 4 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.

- Present 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 :

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.

Latest Technology :

- You will get to work on the most advanced technologies like machine learning and artificial intelligence.

Global Exposure :

- We work for leading global brands.

- You will get exposure to global markets while working with international clients.

Learning & Development :

- We partner with a host of the biggest learning platforms.

- You will be encouraged to learn and grow.

Growth Mindset :

- We encourage a growth mindset and believe that learning never stops.

- There is no pressure on you to be a master of everything.

- With this attitude, we can make significant progress in areas that we know very little about today.

- Here, you'll work with people with a collective passion to explore the limitless potential of data to solve complex problems.

Additional Benefits :

- Health insurance (self & family), virtual wellness platform, fun, and knowledge communities.