Job Description
Analyst – Model Development & Business Analytics
Location: Mumbai | On-site
Qualification: Master’s degree or higher in Quantitative Finance, Statistics, Applied Mathematics, Data Science, Economics, or a related field.
Experience: 2–5 years of experience in a quantitative modeling or analytics role, preferably within a financial consulting firm, bank, or financial institution.
About the Organization:
B2K Analytics is a boutique advisory firm offering services and solutions in
risk management, research, analytics, consulting, investment management, infrastructure advisory
and skill development. Having been founded in 2015, the company has been operating with a niche
clientele over the years. Currently, B2K has plans to expand rapidly to realise its true potential in
Indian markets and abroad.
Work Profile:
We are looking for fast paced and energetic person with entrepreneurial mindset to help us expand our business and our clientele in India. The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients. The profile will involve developing relationship with clients and preparing documentation for sale / marketing.
Responsibilities
- Design, develop, and validate quantitative models for financial forecasting, risk assessment, pricing, and capital planning.
- Analyze large financial and operational datasets to uncover insights and inform strategic business decisions.
- Collaborate with internal stakeholders and client teams to understand business problems and develop tailored modeling solutions.
- Develop and maintain model documentation, performance monitoring reports, and validation artifacts in line with regulatory and internal standards (e.g., SR 11-7, CECL, CCAR).
- Apply machine learning and statistical techniques to optimize business processes and support strategic initiatives.
- Present analytical findings and model results to both technical and non-technical audiences.
- Support model governance, audit, and compliance efforts across client engagements.
- Stay current on industry trends, regulatory developments, and new modeling techniques.
Qualifications:
- Education:
- Master’s degree or higher in Quantitative Finance, Statistics, Applied Mathematics, Data Science, Economics, or a related field.
- Experience:
- 2–5 years of experience in a quantitative modeling or analytics role, preferably within a financial consulting firm, bank, or financial institution.
- Experience working with regulatory modeling frameworks (e.g., Basel, IFRS 9, CECL, CCAR/DFAST) is a strong plus.
- Technical Skills:
- Proficiency in programming languages such as Python, R, SAS, or SQL.
- Experience with statistical and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow) and data visualization tools (e.g., Power BI, Tableau).
- Strong command of Excel and financial modeling techniques.
- Soft Skills:
- Strong problem-solving abilities with a critical thinking mindset.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of cross-functional teams in a fast-paced, client-driven environment.
- Preferred Qualifications:
- Professional certifications such as CFA, FRM, or CQF.
- Exposure to client-facing roles or consulting engagements.
- What We Offer:
- A collaborative and intellectually stimulating environment.
- Opportunities for professional development and advancement.
- Exposure to variety of problem statements and high-impact consulting projects.
