Highlight of the engagement opportunity

- Nature of role: Full time
- Number of years of experience expected: - 3-10 Years
- Areas of past experience preferred: Risk Consulting, Credit Risk, ERM, ICAAP, Stress testing and model risk management
- Educational qualification expected: Graduate/ Postgraduate ▪ Additional qualifications/ certifications required: None
- Preferable additional certifications: FRM / CFA / CQF / Actuarial / CA
- Preferred geography of previous work experience: India / Europe / Middle-East / APAC / US
- Language requirements: Ability to write and speak fluently in English
- Application experience preferable: MS Excel, VBA, SQL, PowerPoint, Python, R, and / or other industry leading risk systems for ICAAP, ERM and model risk management

Key responsibility areas:

- Assist in delivery of advisory and system implementation engagements with leading banks,financial institutions, NBFCs,insurance companies and corporates coveringareas such as Credit risk, ERM, ICAAP, Basel II / III, model risk management, stress testing, capital adequacy assessment etc.
- Demonstrate strong functional understanding of subjects covering areas such as Credit risk, financial risk management, non-financial risk management, ERM, ICAAP, Basel II / III, model risk management etc. directly interface with clientele during engagements.
- Support and drive day-to-day execution of assignedclient projects.
- Support in hiring and mentoring initiatives to expand and upskill execution and delivery team for engagements
- Support in design, updating and monitoring of detailed projectplans for assignedengagements
- Directly report and provide detailed updates to project managers / project directors for all assigned engagements on an on-going basis
- Actively support and participate in designing proposals, RFP responses and pitches for business development pursuits
- Development and review of models coveringareas such as ERM, ICAAP,stress testing, Basel II / III, capital adequacy, MRM etc.
- Support in delivery of system implementation engagements covering aspects such as BRD creation, FSD review, system configuration, SIT, UAT and Go-live

Key performance metrics:





- Adherence to project delivery timelines
- Quality of delivery – timeliness of updates, prompt follow ups, escalations etc.
- Adherence to the firm’s standards for processes and quality
- Effective communication with project stakeholders
- Client feedback
- Feedback from counselor and other team members

Other expectations:

- An “ownership attitude” whose passion for solving our client’s strategic issues and objectives
- Strong analytical and presentation skills
- Strong business writing and oral communication skills
- Collaborative and partnership-oriented and ready to work as a team member/ leader
- Ability to handle highly challenging and time-bound projects with a positive mindset
- Collaborative and partnership-oriented and ready to work as a team member/ leader
- Demonstrated ownership over deliverables and project engagement
- Ability to handle highly challenging and time-bound projects with a positive mindset

Other important information:

- Work permit requirements: Either Indian Citizen or having valid work permit to work in India
- Period of engagement: Full-time position
- Probation period: 6 months
- Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process.
- Performance incentives: Typically, all roles at Acies have a performance incentive. Specific aspects will be discussed during the compensation discussion
- Leave: 19 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement.
- Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion.




- Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process.
- Career opportunities for part-time roles: Conversion of part time roles to full-time roles depends on both performance of the individual and business needs. You are encouraged to ask about the prospects as you interact with Acies personnel during the selection process.
- Global mobility: Acies encourages mobility across our offices. Such mobility is, however, subject to business needs and regulations governing immigration and employment in various countries.

Selection process: We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows:

- Interview: There are expected to be at least 3-4 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved.
- Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion.

Preparation required: It is recommended that you prepare on the following aspects before the selection process:

- Demonstrate knowledge about ALM, IRRBB, liquidity risk, FTP, balancesheet management, treasury and market risk
- Demonstrate experience of executing large-scale projects across ALM, IRRBB, liquidity risk, FTP, balancesheet management, treasury and market risk

For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at [email protected].

How to reach us:

Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers-apply.html

📌 Senior Business Advisory Specialist - Credit Risk ERM ICAAP and Model Risk Management (Mumbai)
🏢 Acies
📍 Mumbai