About OpexAI
We at opexAI strive to make business strategies and provide effective solutions to your complex business problems using AI, machine learning and cognitive computing approaches. With a 40+ years experience in analytics and a workforce of highly skilled and certified consultants, we provide a realistic approach to help you chart an optimal path to success.
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Job Title: Credit Risk Analyst
Company: FatakPay FinTech
Location: Mumbai, India
Salary Range: INR 8 - 15 Lakhs per annum
Job Description:
FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.
Key Responsibilities:
- Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
- Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
- Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
- Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
- Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
- Prepare comprehensive reports on credit risk analyses and present findings to senior management.
- Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
- Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
- Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
- Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.
Qualifications:
- Minimum qualification: B.Tech or Engineering degree from a reputed institution.
- 2-4 years of experience in credit risk analysis, preferably in a fintech environment.
- Proficiency in data analysis, statistical modeling, and machine learning techniques.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to present complex data insights clearly.
- A proactive approach to work in a fast-paced, technology-driven environment.
- Up-to-date knowledge of financial regulations and compliance standards.
We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!
Greetings!!!!
We are looking for a data engineer for one of our premium clients for their Chennai and Tirunelveli location
Required Education/Experience
● Bachelor’s degree in computer Science or related field
● 5-7 years’ experience in the following:
● Snowflake, Databricks management,
● Python and AWS Lambda
● Scala and/or Java
● Data integration service, SQL and Extract Transform Load (ELT)
● Azure or AWS for development and deployment
● Jira or similar tool during SDLC
● Experience managing codebase using Code repository in Git/GitHub or Bitbucket
● Experience working with a data warehouse.
● Familiarity with structured and semi-structured data formats including JSON, Avro, ORC, Parquet, or XML
● Exposure to working in an agile work environment
Airflow developer:
Exp: 5 to 10yrs & Relevant exp must be above 4 Years.
Work location: Hyderabad (Hybrid Model)
Job description:
· Experience in working on Airflow.
· Experience in SQL, Python, and Object-oriented programming.
· Experience in the data warehouse, database concepts, and ETL tools (Informatica, DataStage, Pentaho, etc.).
· Azure experience and exposure to Kubernetes.
· Experience in Azure data factory, Azure Databricks, and Snowflake.
Required Skills: Azure Databricks/Data Factory, Kubernetes/Dockers, DAG Development, Hands-on Python coding.
About Quadratyx:
We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.
We firmly believe in Excellence Everywhere.
Job Description
Purpose of the Job/ Role:
• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.
Key Requisites:
• Expertise in Data structures and algorithms.
• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.
• Scaling of cloud-based infrastructure.
• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.
• Led and mentored a team of data engineers.
• Hands-on experience in test-driven development (TDD).
• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.
• Good knowledge of Kafka and Spark Streaming internal architecture.
• Good knowledge of any Application Servers.
• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.
• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc.
Skills/ Competencies Required
Technical Skills
• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.
• Clear end-to-end experience in designing, programming, and implementing large software systems.
• Passion and analytical abilities to solve complex problems Soft Skills.
• Always speaking your mind freely.
• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.
• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.
Academic Qualifications & Experience Required
Required Educational Qualification & Relevant Experience
• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.
• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.
Basic Qualifications
- Need to have a working knowledge of AWS Redshift.
- Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productized data ingestion and processing pipelines using Spark, Scala, Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal
- Ability to problem-solve and architect in an environment with unclear requirements
Job Description for :
Role: Data/Integration Architect
Experience – 8-10 Years
Notice Period: Under 30 days
Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.
Core Skillsets:
Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.
Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop
Should have worked on Agile
Sound communication skills
Should be open to learning new technologies based on business needs on the job
Additional Skills:
Awareness of other data/integration platforms like Mulesoft, Camel
Awareness Hadoop, Snowflake, S3
scraping , and problem skills
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment