Quantitative Developer

Fincrime AML Model Analyst/Developer (3 – 5

Years)

Job Summary:

We are seeking a dedicated professional for the Financial Crime Model developer

role. This position is responsible for the development and maintenance of all AML

Feeder models, ensuring adherence to acceptable model risk practices and defined

performance parameters. The successful candidate will play a critical role in

enhancing the firm’s AML risk coverage while ensuring the operational viability of the

models. This role requires a strong understanding of financial crime analytics and a

commitment to maintaining high standards in model performance and compliance.

Key Responsibilities:

• Risk Analytics & Modeling: Develop and implement quantitative models to

assess and mitigate risks associated with financial crime and sanctions.

• Data Analysis: Conduct comprehensive data and trend analysis to identify

patterns and anomalies that may indicate potential risks.

• Technical Documentation: Create and maintain detailed technical

documentation of methodologies, processes, and findings to ensure

transparency and reproducibility.

• Collaboration: Work closely with cross-functional teams to gather insights

and share findings, fostering a collaborative environment.

• Process Performance Measurement: Measure and evaluate the

performance of risk management processes, recommending improvements as

necessary.

• Research: Stay abreast of industry trends, regulatory changes, and emerging

threats related to financial crime and sanctions.

• Programming & Data Calibration: Utilize strong programming skills in R,

Python, SAS, SQL, or other languages to productionize data sets and ensure

data calibration for accurate analysis.

• Test Engineering: Design and execute tests to validate the effectiveness of

risk models and analytics.

• Written Communications: Effectively communicate complex findings and

recommendations through compelling narratives supported by data.

Qualifications:

• Total experience of 3 - 10 years with a Bachelor’s degree in finance,

Mathematics, Statistics, Computer Science, or a related field; Master’s degree

preferred.

• Proven experience in quantitative finance, risk analytics, or a related field,

with a focus on financial crime or sanctions.

• Strong programming skills in R, Python, SAS, SQL, or similar languages.

• Demonstrated ability to create compelling stories using data and articulate

conclusions and recommendations effectively.

• Excellent critical thinking, problem-solving, and adaptability skills.

• Strong collaboration and communication skills, both written and verbal.

• Experience in risk management and data modeling is highly desirable

• Should be flexible working on UK hours

Location Preference:

• Location preference 1: Chennai, Hyderabad

• Location preference 2: Mumbai, GurgaonRole & responsibilities

Preferred candidate profile