AVP - Fraud Model Validation - BFSI - IIM/ISB/FMS/MDI

AVP-Fraud Model Validation

Primary responsibilities include:

- Analytic Project Execution: Build effective teams to deliver on business priorities. Decompose business priorities into candidate projects. Consult with partners to initiate project aligned to business needs. Manage the project pipeline to ensure prioritization and resourcing. Influence analytic approaches through learning's and insights.

- Establish a structured interaction model with the partners.

- Communication: Effectively communicate strategic considerations with team, partners and senior management.

- Organizational Development: Dismantle organizational silos. Drive organizational development initiatives.

- Participate in Periodic Meetings with Manager and Business Partners to share overall status of work, progress, issues.

- Seek synergies in activities across teams and implement value-added enhancements to the way work is executed

- Make an objective assessment of the performance of the team and identify opportunity areas to enhance performance

- Perform assessments of the conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs

- Assess completeness of testing performed to support the correctness of the implementation

- Assist with model identification process, assessing whether newly identified methodologies should be in scope of the model risk policy

- Work with model developers and model users across the firm to understand methodology and usage

- Liaise with other Model Governance groups in relevant coverage areas across the firm

Job Skills/Qualifications:

- Bachelor's degree in Statistics, Economics, Finance, Mathematics or a related quantitative field

- Engineering /MBA background from a premier institute

- 6-10 years of hands-on analytical experience.

- Minimum 6+ years' experience in statistical analysis with working knowledge of at least one of the following statistical software packages: SAS(Must), R or Python

- Strong quantitative, analytical, and problem solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods

- Knowledge of finance industry, particularly in model validation

- Experience in model validation and/or model development preferred

- Strong communication and interpersonal skills

- Strong project management and organizational skills; ability to multi-task and meet deadlines

- Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues

- Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage.

- Successful candidate will have a demonstrable analytic, problem solving, and has the ability to deliver projects in a fast-paced environment

- Strong verbal and written communication skills; experience with stakeholder management

- Experience in fraud strategy/processes and/or fraud analytics is a plus