Khaitan & Co - Data Engineering Specialist - Risk & Compliance Data

This role is open for internal mobility within the allied professional groups at KCO

Team Description

The Risk, Audit and Compliance (RAC) division at the firm owns the integrated risk management, internal audit, and compliance aspects of the business and support functions

Risk management includes, but is not limited to, conducting risk assessment and analysis of the business and support functions, maintaining working relationships with senior stakeholders, providing risk advisory services (as required), and remaining integrated with the compliance and internal audit aspects

Internal Audit includes, but is not limited to, leveraging the risk assessments of the business and support functions, maintaining working relationships with senior stakeholders, conducting risk-based focused internal audits of the business and support functions, following through for the entire lifecycle of observations and recommendations, and remaining integrated with the risk management and compliance aspects

Compliance includes, but is not limited to, managing the day-to-day compliance aspects of the business and support functions, maintaining working relationships with senior stakeholders, conducting risk-based focused compliance reviews, providing responses to risk, audit and compliance-related queries from clients, vendors and regulators, and remaining integrated with the risk management and internal audit aspects

The RAC division also has a specialized data analytics & engineering team, which supports the data analytics, project management, tools & workflows, and reporting requirements of the division. This team is tasked with a number of responsibilities, which includes, but is not limited to, conducting risk-based focused data analytics assessments for the business and support functions in conjunction with other members of the RAC division from risk management, internal audit, and compliance; managing the build, test and operation of tools and workflows required for risk assessment, compliance reviews, and internal audit engagements; and managing the project management aspects of a number of strategic transformation projects within the RAC division

Key Responsibility Areas:

The incumbent will primarily be in charge of:

- Drive data engineering assignments for the complete data-related lifecycle of risk management, compliance and internal audit activities at the firm

- Work across a wide variety of areas as per the risk taxonomy adopted by the firm such as Employment (includes Insider Trading), Business Conduct (includes Conflict of Interest), Client Suitability (includes AML / KYC, etc), Vendor / Third Party Risk, Procurement / Sourcing, Supervision, Corporate & Legal Entity Governance, and Information Technology & Cyber

- Support efficient and effective risk assessment of the business and support functions of the firm to form a view of the applicable audit universe (from the perspective of data analytics and data engineering)

- Provide hands-on contribution to all stages of the lifecycle of internal audit and compliance engagements throughout the firm and across the complete cross-section of the risk taxonomy (from the perspective of data engineering).

- Drive the momentum for all risk management, internal audit and compliance matters, related to the definition, sustainable / circular use and enhancement of data engineering tools and workflows

- Demonstrate leadership in managing working relationships with senior stakeholders for the data engineering aspects of the RAC division's activities

- Work with the CRACO for strengthening the integrated risk, audit and compliance framework at the firm, providing leadership to a variety of strategic transformation projects, etc

Education and prior experience:

- BE / BTech (preferably in Computer Science / Information Technology) with MBA (preferably in Finance / Operations / Systems) or, MCA with MBA, with 5+ years of relevant full-time work experience in data analytics and engineering aspects of risk management, compliance and internal audit

- Having prior experience in the BFSI sector (in a corporate setting) and/or professional services firm (in advisory and/or assurance) will be an added advantage

- Experience in working in a diverse and geographically distributed team in a hybrid working model

- Deep experience in participating in data engineering aspects of risk management, compliance and internal audit across a number of areas of the risk taxonomy such as Employment, Business Conduct, Client Suitability, Vendor / Third Party Risk, Procurement / Sourcing, Supervision, Corporate & Legal Entity Governance, and Information Technology & Cyber

- Demonstrated sense of innovation and high degree of data literacy, enabling the use of modern automated techniques for risk management, compliance and internal audit

Competencies:

- Excellent team working skills

- Deep experience in data engineering aspects of risk management, compliance and internal audit across the whole lifecycle of engagements and across a wide cross-section of the risk taxonomy

- Excellent analytical skills, with demonstratable and relevant experience in:

- Detailed knowledge of Microsoft Office 365 Cloud-based applications; and, Advanced levels of data analytics and data engineering, for back end (data acquisition, sanitization, staging, etc) and front end (data reports, dashboards, dynamic queries, etc) through MS Excel and MS SharePoint (formulae, macros, VBA) and/or other proprietary or free DA/DE tools (this will be needed to support the progressive creation of a library of tools and workflows for the RAC division's work)

- Deep experience in conducting engagements in a public Cloud environment (especially MS Azure with ETL / ELT as Azure Data Factory) and with majority of data residing in firmwide ERP system(s)

- Deep experience in scripting tools such as R and Python (with plug-ins such as Plotly, Seaborn, Pandas, etc)

- Exposure to ETL / ELT aspects of a variety of relational databases (SQL / Oracle, etc) and/or non-relational databases (Mongo DB), data warehouses, data lakes, etc

- Well-honed interpersonal skills

- Ability for multi-tasking and switching focus based on priority and demand

- Attention to detail as well as the ability to appreciate the larger picture

- Excellent written and oral communication