The role requires strategic thinking and technical expert with a strong background in financial crime detection and prevention, specifically using advanced analytical methodologies. This role require hands-on expertise to design, develop and deploy analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and good familiarity with the compliance regulations in financial sector.
Design, Devop and deploy models for anomaly detection, behaviour profiling, network analysis, predictive scoring for TM Solutions and act as a single Point of Contact for assigned AML Transaction Monitoring Modelling related matters
Perform data exploration, feature engineering and ensuring models are accurate, efficient and scalable.
Support for analytical processes to enhance TM red flag monitoring and Optimising cases for investigation through AI/ML models and analytical processes
Improve processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets.
Support in design of different scenario models, development and validation including data quality validation, model effectiveness, rules logic for effective risk analytics.
The role holder is accountable for ensuring all processes/ models follow Bank s governance process including Model Risk Policy Governance and Risk Based Rule review.
Knowledge of core banking, payment, CDD, securities and other systems and interplay/linkages between them. Understand business domain aspects relevant to AML Monitoring and Case Management.
Able to conceptualize, design, support and align relevant processes and controls to industry best practice, and close out any compliance gaps
Mentoring and conducting training programs to bring the new joiners and team up to speed on new business requirements
Provide endorsement for changes or remediation activities impacting AML Optimisation models. Also engaging with relevant stakeholders for deploying the changes to production
Work on processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets.
Work towards the collective objectives and scorecard of the business function published from time to time in the form of job and performance objectives for defined periods
People and Talent
Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential.
Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm.
Stimulate an environment where forward planning, prioritisation, deadline management and streamlined workflows and collaborative, inclusive yet effective and efficient work practices are the norm.
Risk Management
Apply Group and FCC policies and processes (AML monitoring) to manage risks.
Apply risk and data analytic tools/techniques to optimise and tune relevant detection scenarios, and screening and monitoring optimisation solutions.
Provide typology review coverage based on relevant segments/products and validate appropriate monitoring coverage which is fit-for-purpose.
Liaise with Business / Segment stakeholders to understand the emanating risks and ensuring those are suitably addressed through the Monitoring coverage.
Engage Advisory teams on Product Risk Assessment reviews, outlining transaction monitoring coverage against products and rationale for deviations
Ensure appropriate and valid agreements are in place for consumption of product and segment data for Transaction Monitoring
Make recommendations (and support in implementation where required) to relevant stakeholders on possible risk mitigants to identified risks or areas of concerns from AML Optimisation Models
Provide Transaction Monitoring subject matter expertise on outcome of AML Risk Identification and Assessment Methodologies
Extend support in the implementation of control improvements, enhancements or simplifications proposed by relevant CFCC Advisory functions
Provide guidance in understanding technical and AML detection related aspects of Transaction Monitoring systems pertinent to a country
Collaborate with FCC Advisory teams on determining risk tolerances
Strong interpersonal skills to collaborate effectively with cross-functional teams.
Governance
Attend relevant business / segment / product related working group meetings.
Ensure tracking and remediation of surveillance and investigations related regulatory findings.
Report product and segment related matters impacting monitoring in relevant FCC and Upstream Governance Committees
Provide regular progress updates on agreed mitigation actions concerning AML Optimisation Model Issues and enhancements
Regulatory & Business Conduct
Display exemplary conduct and live by the Group s Values and Code of Conduct.
Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
Individual contributor to the Product / Segment / Regional teams to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.]
Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key stakeholders
Relevant Business teams - CIB & WRB
Business and segment CFCC Advisory teams
Group AML RFO / teams
ITO
Country/Regional FCC teams
Audit / Assurance teams
Group Model Validation/ Group Model Risk Team
Other Responsibilities
Embed Here for good and Group s brand and values in team
Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.
Skills and Experience
Data Science
Compliance Advisory
Manage Risk
Surveillance (Specifically Monitoring)
Statistical Modelling/ Machine Learning/ Data Analysis
SQL / HQL / Hive / Hadoop scripting and databases such as Oracle and HaaS
R / Python / SAS / STATA / C++ / SCALA Programming
Qualifications
8+ years of hands on experience in Transaction Monitoring design and development with atleast 5 years focussed on financial crime threat risk mitigation.
Strong background in deploying models within TM or compliance environment with solid understanding of AML/CFT regulations.
Post Graduate degree in Management / Statistics / Mathematics OR Graduate degree in Engineering from a reputed institution.
Certification from the ACAMS - Association of Certified Anti-Money Laundering Specialists or equivalent.
Strong coding skills in Python, R, SQL and familiarity with data engineering practices for model integration.
Together we:
Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
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Job Classification
Industry: Banking Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: Manager - Data Science Employement Type: Full time
Contact Details:
Company: Standard Chartered Location(s): Bengaluru