AVP Genai - US Client (Analytics)

Aspyra Hr Services; Pune District, Gurugram District, Bengaluru; On-site; INR 4,000,000 - 5,500,000; Full time

Job summary

Aspyra Hr Services is seeking a senior credit risk/ML professional with 8–12 years of experience to join a client project in Gurugram or Bengaluru. The role involves designing and deploying credit risk models, with emphasis on IFRS 9 regulations and advanced analytics on structured and unstructured data.

You will collaborate with product managers and data scientists to deliver robust, scalable models and insights that support business objectives.

Qualifications

• 8–12 years in credit risk / data science with Python and ML.
• Experience in IFRS 9 models and related regulations.
• Strong data analysis, statistical methods, and R programming.
• Hands-on with unstructured text data and NLP techniques.
• Ability to interact with clients and translate requirements into models.

Responsibilities

• Understand client requirements and design credit risk models.
• Develop, test, deploy, and maintain ML solutions to accelerate business.
• Work with stakeholders to align models with business objectives.
• Apply text analytics and TFIDF to unstructured data.
• Ensure quality using best practices in machine learning and modelling.

Skills

Python

ML

Credit risk modeling

R

IFRS 9

Data analysis

Text analytics

TFIDF / text vectorization

Job description

Salary : 40 to 55 LPA

Exp: 8 to 12 years

Location :Gurugram /Bangalore

Notice: Immediate to 30 days..!!

Roles & responsibilities:

7+ years exp on Python, ML and model development

• Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model.
• Contribute to how analytical approach is structured for specification of analysis
• Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems
• 8+ years exp on ML/Python (predictive modelling).
• Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques
• Collaborate with product managers, and stockholders to design and implement software solutions for science problems
• Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
• Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization
• Hands‑on experience with IFRS 9 models and regulations.
• Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity.
• Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming.
• Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs.
• Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.