Senior Functional Data Engineer

1. Continuously Learn & build expertise on various Analytics product stack

2. Create, review, amend, track progress of the implementation of the overall solutionscape to ensure customers’ business objectives are met.

3. Perform:

   1. Functional & Technical Analysis for the Customer’s requirement

   2. Requirements Elucidation, Discussion with Customer & Oracle teams

   3. Evaluation of Functional/Technical requirements against application features.

   4. Preparation of Technical Specifications for the requirements in AML scenarios, KYC, ECM, Customer Screening, & Transactions Filtering etc.

   5. Review of Technical Test plans for Customization.

   6. Review of Technical / Functional Testing of the Customizations developed.

4. Work with different internal stake holders in Oracle and influence favourable outcomes for the group

5. Interact with bank’s C-level executives

1. You must be a Graduate or Postgraduate in Engineering or Science from Top-tier institute with around 18 years or more of field experience.

2. Overall experience in FinTech companies in BFSI space with

   1. At least 10 years Hands on experience in working with Bank’s AML compliance teams

3. Strong banking and Technical knowledge in Retail and/or Corporate Banking, Risk & Compliance with respect to Anti-financial crime

4. Experience in AML scenarios, KYC, ECM, Customer Screening, & Transactions Filtering.

5.  Experience in Data Analysis, including utilizing Big Data, Artificial Intelligence, and Business Intelligence solutions, along with extensive analytical programming techniques

6. Strong fluency in Python /SAS and Microsoft Office applications, particularly Excel and PowerPoint

7. Ability to manipulate data using SQL or equivalent;

8. Experience with any BI Analytics toolsets

9. Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus

10. Experience in Requirement gathering and solution design and preparation of Technical specification.

11. Usage of tools for story boarding, screen mock-up, work-flow depiction, prototypes.

12. Require understanding of industry trends and current offerings and needs of the markets. Example – ISO20022 message and similar types, Sanctions screening, eKYC, Red flags in AML & KYC, Case management integration with core banking etc. Digitization and automation of processes with concepts like RPA and UI/UX adoptions etc.

13. Excellent Communication (written & verbal formats) and documentation

14. Working knowledge in MS Office suite is essential.

1. Continuously Learn & build expertise on various Analytics product stack

2. Create, review, amend, track progress of the implementation of the overall solutionscape to ensure customers’ business objectives are met.

3. Perform:

   1. Functional & Technical Analysis for the Customer’s requirement

   2. Requirements Elucidation, Discussion with Customer & Oracle teams

   3. Evaluation of Functional/Technical requirements against application features.

   4. Preparation of Technical Specifications for the requirements in AML scenarios, KYC, ECM, Customer Screening, & Transactions Filtering etc.

   5. Review of Technical Test plans for Customization.

   6. Review of Technical / Functional Testing of the Customizations developed.

4. Work with different internal stake holders in Oracle and influence favourable outcomes for the group

5. Interact with bank’s C-level executives

1. You must be a Graduate or Postgraduate in Engineering or Science from Top-tier institute with around 18 years or more of field experience.

2. Overall experience in FinTech companies in BFSI space with

   1. At least 10 years Hands on experience in working with Bank’s AML compliance teams

3. Strong banking and Technical knowledge in Retail and/or Corporate Banking, Risk & Compliance with respect to Anti-financial crime

4. Experience in AML scenarios, KYC, ECM, Customer Screening, & Transactions Filtering.

5.  Experience in Data Analysis, including utilizing Big Data, Artificial Intelligence, and Business Intelligence solutions, along with extensive analytical programming techniques

6. Strong fluency in Python /SAS and Microsoft Office applications, particularly Excel and PowerPoint

7. Ability to manipulate data using SQL or equivalent;

8. Experience with any BI Analytics toolsets

9. Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus

10. Experience in Requirement gathering and solution design and preparation of Technical specification.

11. Usage of tools for story boarding, screen mock-up, work-flow depiction, prototypes.

12. Require understanding of industry trends and current offerings and needs of the markets. Example – ISO20022 message and similar types, Sanctions screening, eKYC, Red flags in AML & KYC, Case management integration with core banking etc. Digitization and automation of processes with concepts like RPA and UI/UX adoptions etc.

13. Excellent Communication (written & verbal formats) and documentation

14. Working knowledge in MS Office suite is essential.

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