Job Description

Dear Applicants,

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Pl note we are looking for Technical Architect with Python , Pyspark along with Cloud experience for Chennai location who are fine to work in hybrid mode and can join immediately or within 30 days availability .

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Experience - 12-30 yrs

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Location : Chennai

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Work Mode : Hybrid (3 days in a week in office)

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Skills Required-Technical Architect + Python + Pyspark + AWS/ Azure/ GCP

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Notice period- Immediate to 60 days only (Not considering 90 days notice period candidates currently )

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Project Description

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We are looking for a Senior Architect to lead the technical direction of our Trade Surveillance platform. Partnering closely with Enterprise Architects, Compliance, and Quantitative teams, this role will shape and execute the multi-year trade surveillance technology roadmap — covering scenario and alert development, platform modernization, and migration from a Q/KDB-based stack to a scalable Python/PySpark cloud-native architecture. The ideal candidate combines deep hands-on engineering credibility with the architectural maturity to influence stakeholders across business, compliance, and technology.

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Responsibilities

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• Architecture & Roadmap

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Partner with Enterprise Architects to define and evolve the trade surveillance technical roadmap, ensuring alignment with firm-wide architecture standards, data strategy, and regulatory expectations.

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Own end-to-end architecture for surveillance scenario development, alert generation, case management integration, and downstream investigator tooling.

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Define reference architectures, design patterns, and engineering guardrails for the surveillance engineering organization.

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• Scenario & Alert Engineering

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Lead the design and implementation of trade surveillance scenarios and alerts across asset classes (equities, fixed income, FX, derivatives) covering market abuse typologies such as spoofing, layering, wash trades, front-running, insider trading, and cross-product manipulation.

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Drive development of scenarios and analytics in both Q/KDB (current state) and Python/PySpark (target state).

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Establish reusable frameworks for scenario authoring, parameter tuning, back testing, threshold calibration, and false-positive reduction.

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• Platform Modernization & Cloud Migration

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Lead migration of the trade surveillance platform to the new cloud infrastructure (AWS / Azure / GCP), including compute, storage, streaming, and orchestration layers.

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Architect and oversee the migration of scenarios, libraries, and frameworks from Q/KDB to Python/PySpark on distributed compute (Spark, Databricks, EMR, or equivalent), ensuring functional parity, performance, and auditability.

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Design for scale — alert generation across billions of order and trade events per day — with focus on throughput, latency, cost optimization, and resilience.

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• Data & Engineering Excellence

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Define data models and ingestion patterns for orders, executions, market data, reference data,



communications, and news/social feeds.

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Champion engineering best practices: CI/CD, IaC, automated testing of surveillance logic, observability, lineage, and reproducibility of alerts (critical for regulatory defensibility).

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Collaborate with Data Engineering, DevOps, and InfoSec on secure-by-design implementations.

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- 12+ years of technology experience in Investment Banking and/or Capital Markets sector
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- Deep proficiency in Python and PySpark including distributed processing patterns, performance tuning, and production-grade engineering.
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- Hands-on experience with at least one major cloud platform (AWS, Azure or GCP) and modern data platforms (Databricks, Snowflake, EMR, or equivalent).
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- Robust grasp of streaming and event-driven architectures (Kafka, Flink, Kinesis, or similar).
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- Understanding of trade lifecycle, market microstructure, and at least one regulatory regime (MAR, Dodd-Frank, MiFID II, SEBI, FINRA rules).
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- Proven ability to operate at the intersection of engineering and architecture — designing on the whiteboard and coding when needed.
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Key Competencies

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- Architectural thinking balanced with engineering pragmatism.
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- Strong written and verbal communication; able to translate regulatory and business intent into technical design.
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- Comfortable navigating ambiguity in a high-stakes, regulator-facing environment.
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- Influences without authority — credible with senior engineers, enterprise architects, and compliance leadership alike.
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Location : Chennai

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Experience : 12-30 yrs

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Work Mode- Hybrid

📌 Technical Architect with Python and Pyspark Experience - Chennai (12-30 Yrs) Hybrid (Tamil Nadu)
🏢 Luxoft India
📍 Tamil Nadu