S

Sympera AI

AI-powered platform for relationship banking

Data Scientist - Financial Services

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Client-facing experience delivering presentations and product demonstrations, running workshops, and managing client expectations.
  • Experience delivering complex business or technology solutions from requirements gathering through solution design.
  • Excellent written and verbal communication skills, with the ability to communicate confidently and effectively at any level.
  • Ability to understand technical concepts and translate them into business solutions.
  • Working knowledge of SQL and experience with databases such as Oracle, DB2, SQL Server, or PostgreSQL.
  • Working knowledge of Python with Pandas, NumPy, and scikit-learn, or similar tools.
  • Expertise in industry-standard modeling tools and methods.
  • Experience with software development lifecycle practices, preferably Agile.
  • Good knowledge of information technology systems, architectures, and terminology.
  • Strong interpersonal and leadership skills.

Responsibilities

  • Lead discovery workshops to elicit requirements, define success metrics, and translate business problems into AI solutions and delivery plans.
  • Provide innovation and leadership in client-centric solution design aligned with the company's product offering.
  • Create statements of work inputs, estimates, and technical approaches for services engagements; support pre-sales with demonstrations, proof-of-value work, and solution narratives.
  • Manage client review, documentation, and sign-off processes for functional documents and artifacts.
  • Build and evaluate models for financial services use cases including anti-money laundering, fraud detection, alert triage, trading surveillance, credit risk, and customer intelligence.
  • Apply natural language processing and large language model techniques, including retrieval-augmented generation, summarization, extraction, and classification; graph and network analytics; time series; anomaly detection; and ensemble methods.
  • Implement explainability using SHAP and LIME, bias and fairness testing, performance monitoring, and model risk controls.
  • Deliver proofs of concept and pilots, and productionize models with engineering teams using robust machine learning operations practices.
  • Collaborate with client and internal teams to profile, transform, and validate data, and build performant pipelines using SQL, Spark, and orchestration tools.
  • Integrate AI services with company products and client systems via application programming interfaces, microservices, and event streams.
  • Implement retrieval components using vector databases and prompt orchestration frameworks for large language model solutions.
  • Plan and execute user acceptance testing, training, and knowledge transfer to drive adoption.
  • Mentor customer and internal teams, and contribute reusable assets including templates, prompts, pipelines, and notebooks.
  • Share best practices and provide feedback to product and research and development teams to influence the roadmap.

Desired Qualifications

  • Understanding of compliance processes and workflows in financial services.
  • Experience and exposure to Unix systems, including Solaris, AIX, Linux, or HP-UX.
  • Knowledge of financial regulatory modules and topics such as anti-money laundering, know-your-customer, FATCA, and CRS.

About the Company

Sympera AI

AI-powered platform for relationship banking

Sympera AI provides an AI-powered platform for financial institutions that strengthens relationship banking. It helps banks and their relationship managers be more productive and grow client portfolios by offering financial intelligence and sales enablement tools. The platform combines market intelligence with client relationship management so bankers can uncover opportunities, monitor the health of business relationships, and choose effective strategies. This differentiates Sympera AI by offering an integrated solution that pairs data-driven insights with CRM capabilities, aimed at improving service and outcomes for clients. The company’s goal is to redefine relationship banking by using big data and AI to drive business growth and higher client satisfaction for financial providers.

Company size
11-50
Company stage
Seed
Total funding
$10M
Headquarters
New York City, New York
Founded
2024

Recently Posted Jobs

Explore more opportunities at Sympera AI

See more jobs