Technical Delivery Architect - Payment Fraud

IBM Technology Expert Labs Delivery Consultant

Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business. Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.

Your Role and Responsibilities

As a Delivery Consultant, you will work closely with IBM clients and partners to design, deliver, and optimize IBM Technology solutions for payment fraud that align with your clients' goals. In this role, you will apply your technical expertise to ensure world-class delivery while leveraging your consultative skills such as problem-solving issue- / hypothesis-based methodologies, communication, and service orientation skills, fraud modeling, false positive reduction. As a member of IBM Technology Expert Labs, a team that is client focused, courageous, pragmatic, and technical, you'll collaborate with clients to optimize and trail-blaze new solutions that address real business challenges. If you are passionate about success with both your career and solving clients' business challenges, this role is for you. To help achieve this win-win outcome, a 'day-in-the-life' of this opportunity may include, but not be limited to:

• Solving Client Challenges Effectively: Understanding clients' main challenges and developing solutions that helps them reach true business value by working thru the phases of design, development integration, implementation, migration and product support with a sense of urgency.
• Help customers, transform, and grow by leveraging insights from enterprise data for real-time & just-in-time decision making through managing solution design and delivery, problem solving, & continuous improvement.
• Model tuning and false positive reduction through modeling adjustments.
• Experience with Fraud systems from SAS, Actimize, BAE, Oracle/Mantas, FIS, Fiserv, Feedzai, etc.
• Exposure to enterprise-critical solution development where performance, scalability and high availability are requirements.
• Behavior modeling ie SAS, Random Forrest, Neural Networks, Gradient Boost.
• C++, SQL, Python experience.
• Linux (Redhat, Ubuntu, Cygwin, Others).
• MQ and Kafka.
• Ability to represent the team and be a key player in an integrated services team, customer facing skills.
• Ability to keep key stakeholders appraised of progress and issues.
• Effective written and oral communicator.
• Availability to travel as project/customer requirements demand.

Required Technical and Professional Expertise

This role performs services for customers in support of a SOA based Payments Fraud system. This will include design and implementation of customer requirements relating to Payment's fraud detection. The candidate will have strong experience in designing or implementing integration environments for Fraud detection including data translation, modeling, and implementation. The candidate will have at least 5+ year's experience with implementing and building fraud systems for financial services organizations. The candidate will have experience in taking Customers requirements for an integration environment and building an appropriate solution to meet these needs. The candidate will have detailed experience with some or all of the following IBM DB2, Oracle DB, Linux, C++ development, Python, Random Forrest, Gradient Boost, Neural Networks, SAS, all in the context of detecting financial crimes. Good communication skills are essential. The candidate will work closely with IBM Customer's worldwide to design and implement Integration/SOA solutions based to detect fraud for: credit/debit cards (issuing and acquiring), real time payments/mobile, online banking, check/ACH, wire/swift, commercial payments, a knowledge of Anti Money Laundering detection is a plus (sanctions, know your customer and transaction monitoring). The candidate may also be required to participate in pre-sales activity to convince Customers of the value of IBM solutions relating to Financial Crimes detection primarily focused around payment fraud.

Preferred Technical and Professional Experience

Help customers, transform, and grow by leveraging insights from enterprise data for real-time & just-in-time decision making through managing solution design and delivery, problem solving, & continuous improvement.

Model tuning and false positive reduction through modeling adjustments.

Experience with Fraud systems from SAS, Actimize, BAE, Oracle/Mantas, FIS, Fiserv, Feedzai, etc.

Exposure to enterprise-critical solution development where performance, scalability and high availability are requirements.

Behavior modeling ie SAS, Random Forrest, Neural Networks, Gradient Boost.

C++, SQL, Python experience.

Linux (Redhat, Ubuntu, Cygwin, Others).

MQ and Kafka.

Ability to represent the team and be a key player in an integrated services team, customer facing skills.

Ability to keep key stakeholders appraised of progress and issues.

Effective written and oral communicator.

Availability to travel as project/customer requirements demand.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.