Junior Technical Project Manager
Synapse Analytics
Junior Technical Project Manager
Synapse Analytics
On-premises AI decisioning for regulated finance
Synapse Analytics builds AI-powered platforms that help financial institutions make faster, better, more transparent decisions. Konan, our decisioning and workflow platform, digitizes credit decisioning end to end inside banks and lenders. Doxter, our document intelligence platform, turns unstructured client documents into structured, usable data. We implement both inside regulated financial institutions across MENA and LATAM, and our Delivery team is the function that turns a signed contract into a live, value-generating platform.
Konan and Doxter are only as valuable as how well they are configured to each client's reality. A bank's credit policy (its eligibility rules, scorecards, limits, and approval workflows) and a lender's document set have to be understood, translated, and built into the platform accurately. The Junior Technical Project Manager exists to become the product expert our clients and our delivery team rely on.
You will join our global Project Management team, work under a Senior Project Manager, and learn alongside our Konan subject matter experts. On assigned implementations you will own the product side of delivery: reviewing client credit and risk policies, ingesting them into Konan, configuring Doxter document extraction, proving through testing that every configuration behaves as the client intended, and helping clients get the most out of the platform once it is live. The role combines project management discipline with deep, hands-on product fluency.
This is a growth role. Within 12 to 18 months, we expect the right person to own the full product configuration of an implementation and to be recognised as the Konan and Doxter expert for a portfolio of clients.
Review client credit and risk policy documents, underwriting guidelines, and product programs, and break them down into structured, implementable logic: eligibility and knockout rules, scorecards, decision trees, limits, and pricing.
Ingest and configure that policy logic in Konan under the guidance of our Konan subject matter experts, keeping a clear, version-controlled configuration record for every client.
Spot gaps, ambiguities, and contradictions in client policies early, and work them through with the client's credit and risk teams before they reach the build.
Map client requests to Konan's existing programs and capabilities (loan origination, onboarding, decisioning workflows) before anything is treated as custom work.
Analyse client document sets such as IDs, bank statements, salary certificates, financial statements, and contracts, and define the fields, rules, and validations each use case requires.
Configure and tune Doxter extraction and validation, and track accuracy against the acceptance criteria agreed with the client.
Work with Product and Data teams when new document types or accuracy gaps call for model improvements.
Build test cases and test data that prove each configured policy and document flow produces exactly the outcome the client expects.
Run and support SIT and UAT for configurations, log defects clearly, and track them to resolution with engineering.
Own configuration change requests after sign-off: assess the impact, update the configuration, retest, and document the change.
Be the product voice for your assigned clients: run demos and configuration workshops, and answer how-to and "can Konan do this" questions with confidence.
Train client users and administrators on Konan and Doxter, and prepare user guides and enablement material.
Support our Konan subject matter experts in producing data and decisioning insights from Konan outputs (approval rates, rule hit rates, policy performance) that help clients refine their policies.
Hand over to Customer Success at go-live with complete, accurate configuration documentation.
Plan and track the configuration workstream in ClickUp, owning your tasks, RAID items, and status inputs to the project plan.
Translate between client business and risk teams and Synapse engineering, data, and product teams.
Capture product feedback and feature gaps from clients as structured input for Product.
Contribute reusable policy templates, configuration patterns, and lessons learned to the team's knowledge base.
On-premises AI decisioning for regulated finance
Synapse Analytics builds agentic decisioning infrastructure for regulated financial institutions, enabling banks, NBFIs, and fintechs to create, simulate, version, and deploy decisioning policies for onboarding, credit, fraud, and AML, while keeping data within the customer’s perimeter. The platform runs on-premises, in private/public or sovereign clouds, or in fully air-gapped environments, allowing deployment across the Middle East, Africa and Latin America. It differentiates itself by prioritizing on-premises and air-gapped deployments for sensitive data instead of cloud-only solutions, and supports multiple deployment models within scalable policy ecosystems. The company’s goal is to scale the product, accelerate development, and expand internationally to continue serving regulated institutions with trusted AI-driven decisioning.
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