Northern Arc Capital - Associate - Risk Analytics (1-4 yrs)

Northern Arc Capital Limited is a platform in the financial services sector in India set up primarily with the mission of catering to the diverse credit requirements of under-served households and businesses.

As a leading player among Indias NBFCs, its business model is diversified across offerings, sectors,

products, geographies, and borrower segments.

Its proprietary integrated technology system called Nimbus and its risk management framework enables it to offer a diversified product suite, efficiently at scale.

Northern Arc has cumulatively raised over INR One Trillion in funds for its clients since the inception of its platform in 2009.

- We are seeking a highly skilled and motivated individual to join our team as a Financial Services Analytics Specialist.

- This role involves utilizing advanced analytics techniques to extract insights from financial data, driving informed decision-making and strategic initiatives within the organization.

- The ideal candidate will have a strong background in finance, statistics, and data analytics, with a proven track record of delivering actionable insights in the financial services industry.

- Analyze large datasets from various financial sources to identify trends, patterns, and anomalies.

- Develop predictive models to forecast customer behavior or risk exposure.

- Collaborate with cross-functional teams including finance, risk management and operations to understand business objectives and develop analytical solutions.

- Conduct ad-hoc analysis to support decision-making processes, such as pricing strategies and product development.

- Present findings and recommendations to senior management and stakeholders in a clear and concise manner.

- Stay current with industry trends, emerging technologies, and best practices in financial analytics to continuously improve processes and methodologies.

Qualifications :

- Bachelors/Masters degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field with a minimum of 65% in all academics.

- Experience and skills: 1 to 4 years of experience in analytics, preferably in retail, banking, insurance, or investment management.

- Proficiency in SQL for large-scale data processing and analysis is mandatory.

- Proficiency in Python/Scala with experience in API development is mandatory.

- Expertise with big data technologies, including Spark, Data Lake, Delta Lake is a plus.

- Strong quantitative and problem-solving skills with the ability to translate complex data into actionable insights and the ability to effectively convey technical concepts to non-technical audiences.

- Ability to work independently and collaboratively in a fast-paced, dynamic environment.

- Professional certifications such as CFA, FRM, or CPA are a plus.