As a Mutual Fund Operations Executive, you will be responsible for managing day-to-day operational activities related to mutual fund investments. Your role will involve handling mutual fund transactions, maintaining client records, preparing and sending monthly reports and tax documents, and managing new client account openings and existing client portfolios across multiple asset classes. - Handle daily mutual fund transactions accurately and upload related data. - Maintain and update client records and investment data systematically. - Prepare and send monthly portfolio performance reports and tax reports to clients. - Manage the onboarding process for new client accounts and ensure smooth account setup. - Oversee existing client accounts, ensuring timely updates and addressing client queries. - Coordinate with internal teams to ensure compliance and smooth operations. Qualifications Required: - Prior experience in mutual fund operations or financial services preferred. - Strong organizational skills and attention to detail. - Proficient in MS Excel and data management tools. - Good communication skills to interact with clients and internal teams. - Ability to work independently and manage multiple tasks efficiently.,
Responsibilites ● Own data pipelines end-to-end: Design, build, and operate batch/streaming ETL/ELT (positions, trades, prices, fundamentals, benchmarks, corporate actions, CRM, clickstream). ● ML feature platform: Stand up and maintain offline/online features (e.g., client risk signals, asset factors, churn/upsell, RIA productivity), versioning, and lineage. ● Model training & MLOps: Productionize models (forecasting, personalisation, anomaly/fraud detection, NLP document processing) with automated training, CI/CD, canary deploys, and drift/quality monitoring. ● Data quality & governance: Implement contracts, unit tests, expectations, schema registry, lineage, catalogue, PII tokenisation, and role-based access. ● Serving & APIs: Expose model/feature services with low-latency endpoints and scalable infra; partner with backend to integrate into advisor & client apps. ● Cross-functional impact: Collaborate with Quant/Research, Product, and Compliance to translate business problems into robust data/ML solutions and measurable outcomes. What you’ve shipped ● 5+ years in data engineering/ML engineering (or equivalent), including owning production pipelines and shipping ML into production . ● Expert in Python and one of SQL/Scala ; strong with Spark/PySpark and a workflow orchestrator (Airflow/Prefect/Dagster). ● Hands-on with cloud data stacks (AWS preferred: S3, Glue, EMR, Lambda/ECS/EKS, Step Functions; or GCP/Azure equivalents) and DBT or similar for transformations. ● Built streaming systems with Kafka/Kinesis/PubSub; comfortable with event schemas and backfills. ● MLOps experience with feature stores (Feast/Tecton), experiment tracking (MLflow/W&B), model registry, and model serving (SageMaker, Vertex AI, Triton, Ray Serve, or KFServing). ● Production monitoring: data drift, model performance, alerting (Prometheus/Grafana, CloudWatch, Datadog). ● Security basics: IAM, VPC segmentation, KMS, secrets, least-privilege, PII handling. Clear communicator who can turn ambiguous wealth-use cases into roadmaps and ship.
Responsibilities ● Design, build, and maintain RESTful ASP.NET Web API (Framework 4.8) services. ● Write high-quality C# with SOLID practices, clean architecture, and unit/integration tests. ● Model data, write performant T-SQL (joins, CTEs, window functions), and optimise queries/indexes. ● Build background jobs (e.g., Quartz.NET ), health endpoints, and observability (logs/metrics/traces). ● Secure APIs (authN/authZ, OAuth/JWT, OWASP), handle config/secrets, and harden IIS. ● Diagnose prod issues (profilers, dump analysis, SQL execution plans) and drive RCAs. ● Collaborate via PRs, code reviews, and refactoring. Must-have ● 8+ years in backend engineering with .NET Framework 4.x ; deep ASP.NET Web API . ● Strong SQL Server/T-SQL (stored procs, indexing, isolation levels, deadlock analysis). ● Solid async/concurrency, collections, memory/perf tuning in C#. ● IIS + Windows Server deployment experience; Git; CI/CD; automated testing.