8.0 - 13.0 years

25 - 30 Lacs

Bengaluru

Work from Office

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Strong understanding of credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Strong problem-solving mindset is critical for success in this role.

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VP Finance & Accounts Array Job Solutions

10.0 - 20.0 years

25 - 40 Lacs

Noida, New Delhi, Delhi / NCR

Work from Office

Function Finance & Accounts Role VP Finance & Accounts Reporting into Chief Finance Officer Key Result Areas 1. Filing of RBI returns (DNBS 01, 03, 4A, 4B, 10, 13 ) 2. Preparation of financials under IND AS 3. NBFC background knowledge of RBI guidelines applicable of middle lawyer company for accounting purpose 4. Accounting knowledge of assignment and PTC transaction under IND AS 5. Knowledge of financial planning and budgeting 6. Preparation of MIS 7. Knowledge of ECL calculation 8. Consolidation of Financials 9. Cost control and expenses analysis Required Skills Relevant experience with NBFC / HFC / Microfinance background Qualification CA No of years of Industry experience Atleast 10 years of relevant experience Role & responsibilities

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Credit Risk reporting - US MNC (analytics) Aspyra Hr Services

3 - 8 years

15 - 30 Lacs

Pune, Gurugram, Bengaluru

Hybrid

Location: PAN India Immediate joiner required Experienced in end to end capital or Impairment process management RWA calculation engine using Standardized approach (BASEL 1/2/3) for Credit Risk Asset classification for Retail and Wholesale Products, Collateral Adjustment, on balance/ off balance exposure calculation Migration RWA calculation from BASEL 3 to 3.1 using Standardized or AIRB approach Knowledge of Banking domain/ banking products like Retail, corporate, banks, SME, Sovereign Project management / stakeholder management Keywords : Standardized approach - BASEL 1/2/3 Capital Reporting (Standardized approach) RWA Calculation Credit Risk (RWA) capital management

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Hiring For Mainframe Developer Wize Careers Consultants

6 - 10 years

15 - 25 Lacs

Bengaluru, Delhi / NCR

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Develop and maintain mainframe applications using COBOL, JCL, DB2, CICS, and other mainframe technologies with 4+ years of experience,Write clean, efficient, and maintainable code. Required Candidate profile Perform troubleshooting, debugging, and resolution of technical issues related to mainframe applications.Work with business analysts and other team members to gather requirement

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Credit Risk analyst/ Risk analytics-- US MNC (Analytics) Aspyra Hr Services

3 - 8 years

15 - 30 Lacs

Pune, Gurugram, Bengaluru

Hybrid

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice: Immediate only..!! Key Skills: SAS, Advance SQL, Credit Risk Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SAS, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

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