Balance Sheet Management

Highlight of the engagement opportunity Nature of role: Full time internship (6-12 months) with option to convert Number of years of experience expected: 0-2 years Areas of past experience preferred: Quantitative modelling, Risk Management Educational qualification expected: Graduate/ Pursuing graduation Additional qualifications/ certifications required: None Minimum actuarial papers: Actuary certifications / degrees Preferred geography of previous work experience: India / Europe / APAC / US Language requirements: Ability to write and speak fluently in English Application experience preferable: Python, Advanced excel, PowerPoint Location: Mumbai, Goa Key responsibility areas: Work with engagement teams to deliver on following functionalities on our proprietary application suite for Balance Sheet Management: 1.Asset Liability Management (ALM) 2.Interest Rate Risk in Banking Book (IRRBB) 3.Behavioral Modelling 4.Pillar 1 Risks (Market Risk, Credit Risk, Operational Risk) 5.Pillar 2 Risks (ICAAP) 6.Fund Transfer Pricing (FTP) 7.Profitability Analysis Understand client requirements and support during preparation of BRD, FSD documentation. Build python and excel models on risk analysis to validate models and assist with client user acceptance testing. Validate cashflow, valuation and sensitivity models using excel / python for banking and derivative products. Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility. Develop project execution and product collaterals. Adhere to development standards and protocols mandated by product organization. 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. Leave: 22 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. 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: Test: Online test on Python and quant methodologies Interview: There are expected to be at least 2-3 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 of Banking risks and quantification Demonstrate knowledge of Basel accordson Banking risk management Demonstrate proficiency in financial instrument valuation and risk assessment Demonstrate proficiency in statistical, econometrics and time seriesanalysis Demonstrate proficiency in use of back-end server-side languages like Python and database like MSSQL and PostgreSQL For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at or e-mail us at 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 -