Pega_CDH - BFS

Hyderabad

Job Description

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About the role:

Tiger’s fast-growing Banking & Financial Services vertical is looking for skilled and motivated Pega CDH Developers to join our dynamic team. This role offers the opportunity to work on cutting-edge decisioning platforms, delivering high-impact solutions for major financial institutions.

You will be responsible for configuring, enhancing, testing, and supporting the Pega Customer Decision Hub (CDH)application, including building and refining NBA strategies, decision flows, and adaptive models. If you’re passionate about intelligent decisioning and want to build customer-centric solutions using the latest Pega CDH capabilities, this role is for you.

As part of a larger Financial Services practice, you will work on a range of business-critical initiatives, collaborate with cross-functional teams, and contribute to building smarter and more personalized customer journeys.

Location: Hyderabad

Job Requirement

Experience: 3 to 6 years

Responsibilities

Job Responsibilities

Pega CDH Configuration & Enhancement
- Configure, enhance, and unit test the Pega CDH application based on evolving business requirements.
- Create or update Next-Best-Action (NBA) artifacts like Actions and Treatments.
- Enhance NBA Strategy Framework components such as Strategies and Data Flows.
- Support data ingestion and data processing components including Data Sets and Data Transforms.
Implementation & Quality Assurance
- Independently or collaboratively develop CDH logic in alignment with stakeholder expectations.
- Conduct peer reviews, unit testing, and integration testing to ensure high-quality deliverables.
- Actively participate in Agile sprints and team ceremonies, providing regular updates and inputs.

Required Qualifications, Capabilities and Skills

1) Certified Pega Decisioning Consultant.

2) 2+ years of hands-on experience with Pega CDH (Infinity versions preferred).

3) Strong proficiency in key CDH areas: NBA configuration, strategy framework enhancements, and Adaptive Decision Manager (ADM) updates.

4) Familiarity with simulation and performance tools like Impact Analyzer, Value Finder, PDC, and Deployment Manager.

5) Understanding of BOE, Pega Cloud environments, and CDH performance tuning.

6) Ability to write guardrails-compliant, out-of-the-box (OOTB) compatible code following CDH best practices.

Desired Experience /Skills

1) Basic knowledge of SQL, JSON, and APIs.

2) Solid understanding of the Software Development Life Cycle (SDLC) and delivery processes.

3) Familiarity with Object-Oriented Programming principles.

4) Strong analytical and debugging skills.

5) Experience performing unit and integration testing and packaging rules for deployment.

6) Ability to collaborate in peer code reviews and ensure code quality.

7) Excellent communication and organizational skills with the ability to manage multiple assignments.

8) Comfortable working in Agile environments with a strong attention to detail.

9) Ability to synthesize data into high-level insights and recommendations.